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CN100432696C - Low-level automatic tracking system of ground motion meter gauge based on control of bionic human eye - Google Patents

Low-level automatic tracking system of ground motion meter gauge based on control of bionic human eye Download PDF

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CN100432696C
CN100432696C CNB2006100281528A CN200610028152A CN100432696C CN 100432696 C CN100432696 C CN 100432696C CN B2006100281528 A CNB2006100281528 A CN B2006100281528A CN 200610028152 A CN200610028152 A CN 200610028152A CN 100432696 C CN100432696 C CN 100432696C
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CN1873439A (en
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谢少荣
龚振邦
张晓林
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University of Shanghai for Science and Technology
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Abstract

本发明涉及一种基于仿生人眼控制的地面运动目标低空自动跟踪系统。它包括飞行器及其飞控系统、机载PTZ摄像机、机载图像处理单元和机载仿生控制微处理器。该微处理器采用根据生理学神经回路建立的人眼眼球运动控制的数学模型,作为机载PTZ摄像机控制器的控制律,分别控制机载PTZ摄像机旋转(P)、侧倾(T)、变焦(Z)电机,实现前庭动眼反射、急动性眼球运动、平滑性眼球运动、视机性反射等人眼特有的仿生运动特性,使自动跟踪系统能够象人眼一样连续、平滑、清晰、稳定地跟踪地面运动目标。这种仿生控制方法还为研制当今机器人迫切需要的具有诸多像人眼这样视觉功能的仿生机器人眼探索出有效途径。

Figure 200610028152

The invention relates to a low-altitude automatic tracking system for ground moving targets based on bionic human eye control. It includes the aircraft and its flight control system, airborne PTZ camera, airborne image processing unit and airborne bionic control microprocessor. The microprocessor adopts the mathematical model of human eye movement control established according to the physiological neural circuit as the control law of the airborne PTZ camera controller to control the airborne PTZ camera rotation (P), roll (T), zoom ( Z) motor, to realize the unique bionic movement characteristics of human eyes such as vestibular oculomotor reflex, jerk eye movement, smooth eye movement, visual reflex, etc., so that the automatic tracking system can be continuous, smooth, clear and stable like human eyes to track ground moving targets. This bionic control method also explores an effective way to develop a bionic robot eye with many visual functions like the human eye, which is urgently needed by today's robots.

Figure 200610028152

Description

基于仿生人眼控制的地面运动目标低空自动跟踪系统 Low-altitude automatic tracking system for ground moving targets based on bionic human eye control

技术领域 technical field

本发明涉及一种地面运动目标自动跟踪系统,特别是一种基于仿生人眼控制的低空地面运动目标自动跟踪系统。The invention relates to a ground moving target automatic tracking system, in particular to a low-altitude ground moving target automatic tracking system based on bionic human eye control.

背景技术 Background technique

地面运动目标低空自动跟踪是期望通过有效控制低空无人飞行器姿态及其机载PTZ(即Pan-Tilt-Zoom的缩写)摄像机,使被跟踪的地面移动目标始终保持在图像中心位置,并将图像传回地面指挥中心。可广泛用于军事侦察、武器投放、对地攻击、反恐防暴、交通监控、紧急情况服务援助、摄影测绘和勘察等领域,因此得到了世界上许多国家的极大关注,国内外很多大学、公司等研究机构,纷纷开展了这方面的研究工作。但是,在地面运动目标低空自动跟踪系统中,由于低空超小型无人飞行器、机载PTZ摄像机和地面被跟踪目标三者均在运动中,而且飞行器本身的振动对图像稳定性的影响也很大,使得现有针对从静止摄像机获得场景的目标识别和跟踪方法很难适用。而在跟踪问题上,前期国内外研究的焦点主要还是集中在图像处理方面,摄像机自身运动只是运用图像处理方法如仿射变形算法等进行补偿,因而图像的稳定性不理想,被跟踪目标容易逃出视野。The low-altitude automatic tracking of ground moving targets is expected to keep the tracked ground moving targets at the center of the image all the time by effectively controlling the attitude of the low-altitude unmanned aerial vehicle and its onboard PTZ (the abbreviation of Pan-Tilt-Zoom) camera, and keep the image Send back to the ground command center. It can be widely used in military reconnaissance, weapon delivery, ground attack, anti-terrorism and anti-riot, traffic monitoring, emergency service assistance, photogrammetry and surveying, etc., so it has received great attention from many countries in the world. Many universities and companies at home and abroad And other research institutions have carried out research work in this area. However, in the low-altitude automatic tracking system for ground moving targets, since the low-altitude ultra-small unmanned aerial vehicle, the airborne PTZ camera and the ground tracked target are all in motion, and the vibration of the aircraft itself has a great impact on image stability , making it difficult to apply existing object recognition and tracking methods for scenes obtained from stationary cameras. On the issue of tracking, the focus of previous research at home and abroad was mainly on image processing. The movement of the camera itself is only compensated by image processing methods such as affine deformation algorithms, so the stability of the image is not ideal, and the tracked target is easy to escape. out of view.

发明内容 Contents of the invention

本发明的目的在于提供一种新的基于仿生人眼控制的地面运动目标低空自动跟踪系统,能够象人眼一样连续、平滑、清晰、稳定地跟踪地面运动目标。The object of the present invention is to provide a new low-altitude automatic tracking system for ground moving targets based on bionic human eye control, which can track ground moving targets continuously, smoothly, clearly and stably like human eyes.

为达到上述目的,本发明的构思是:人眼之所以具有在运动时仍然可以跟踪注视运动中的物体而且图像清晰这样的视觉功能,是因为人眼眼球在其神经回路的控制下,可以实现急动性眼球运动、平滑性眼球运动、前庭动眼反射、视机性反射等运动形式。急动性眼球运动能使视线很快地从一个注视点移向另一个注视点,即快速切换视线注视的目标。平滑性眼球运动能使视线平滑地跟踪注视目标,令被注视目标的图像保持在视网膜中央凹上,从而获得连续、稳定的目标图像。前庭动眼反射是前庭刺激引起的反射性眼球运动,也就是当头部位置突然改变时,产生与头转动方向相反的眼球运动,使眼的位置在头和身体的姿势改变时保持不变,以维持视网膜成像的稳定。视机性反射是由于注视眼前快速移动的物体引起的一种眼球反射运动,使人眼能在背景运动情况下看清外界景物。In order to achieve the above object, the idea of the present invention is: the reason why the human eye has the visual function of being able to track and watch the object in motion and the image is clear is that the eyeball of the human eye, under the control of its neural circuit, can realize Rapid eye movement, smooth eye movement, vestibulo-ocular reflex, visual reflex and other forms of movement. Rapid eye movements can cause the line of sight to move quickly from one point of fixation to another point of fixation, that is, to quickly switch the target of the line of sight. Smooth eye movement can make the line of sight track the gaze target smoothly, keep the image of the gaze target on the fovea of the retina, and obtain continuous and stable target images. The vestibular eye movement reflex is a reflex eye movement caused by vestibular stimulation, that is, when the head position suddenly changes, it produces eye movement in the opposite direction to the head rotation, so that the eye position remains unchanged when the head and body posture changes, To maintain the stability of retinal imaging. Optic reflex is a kind of eye reflex movement caused by gazing at fast-moving objects in front of the eyes, so that the human eye can see the external scene clearly in the case of background movement.

本发明正是要仿生人眼急动性眼球运动方式来控制机载PTZ摄像机在开始跟踪或跟踪过程中目标丢失后,能快速获取被跟踪目标;仿生人眼平滑性眼球运动方式来控制机载PTZ摄像机一旦获取跟踪目标后就平滑跟踪地面运动目标;仿生人眼的前庭动眼反射来克服因飞行器振动引起的被跟踪目标容易逃出视野;仿生人眼的视机性反射使得在因飞行器快速飞行引起背景也在运动的情况下,仍能稳定跟踪地面运动目标。The present invention just wants to control the airborne PTZ camera by bionic human eye jerk eye movement mode to quickly acquire the tracked target after the target is lost during the tracking or tracking process; bionic human eye smooth eye movement mode to control the airborne PTZ camera Once the PTZ camera acquires the tracking target, it will smoothly track the moving target on the ground; the vestibular eye movement reflex of the bionic human eye can overcome the tracked target's easy escape of vision caused by the vibration of the aircraft; Even when the background is in motion due to flight, it can still track the ground moving target stably.

根据上述构思,本发明采用如下技术方案:According to above-mentioned design, the present invention adopts following technical scheme:

一种基于仿生人眼控制的地面运动目标低空自动跟踪系统,包括飞行器及其飞控系统、机载PTZ摄像机,其特征在于机载PTZ摄像机的视频输出端子Vout与一个机载图像处理单元的视频输入端子Vin连接,机载图像处理单元的数据输出串口与一个机载仿生控制微处理器的数据输入串口连接,机载仿生控制微处理器的控制信息输出端口与机载PTZ摄像机的数据端口串行连接,飞行器的飞控系统与机载仿生控制微处理器通过另一串口连接;机载仿生控制微处理器的软件写入仿生眼球运动控制数学模型公式,从而输出控制信息分别控制机载PTZ摄像机的旋转P、侧倾T和变焦Z的电机。A low-altitude automatic tracking system for ground moving targets based on bionic human eye control, including an aircraft and its flight control system, and an airborne PTZ camera, is characterized in that the video output terminal Vout of the airborne PTZ camera and the video output of an airborne image processing unit The input terminal Vin is connected, the data output serial port of the airborne image processing unit is connected with the data input serial port of an airborne bionic control microprocessor, and the control information output port of the airborne bionic control microprocessor is connected with the data port of the airborne PTZ camera. The flight control system of the aircraft is connected to the airborne bionic control microprocessor through another serial port; the software of the airborne bionic control microprocessor is written into the mathematical model formula of bionic eye movement control, so as to output control information to control the airborne PTZ respectively. Motors for camera rotation P, roll T and zoom Z.

上述仿生眼球运动控制数学模型公式为:The mathematical model formula of the bionic eye movement control is as follows:

[[ EE. (( sthe s )) ]] == TT nno (( TT nno sthe s ++ 11 )) {{ αα TT vv sthe s 22 TT vv sthe s ++ 11 [[ Hh (( sthe s )) ]] ++ (( γsγs ++ λλ )) [[ ϵϵ (( sthe s )) ]] }}

其中模型的输出[E(s)]是视轴转角,模型的输入[H(s)]是头部运动转角,[ε(s)]是视网膜图像处理得到的被跟踪地面运动目标的位移,Tv是前庭神经核接收信息的时间常数(生理学实验所得该数据是16s),Tn是神经积分时间常数(生理学实验所得该数据是25s)。α、λ、γ分别是神经回路对头部角速度信号、被跟踪目标的角位移和角速度的转换增益,取值范围0~1。The output [E(s)] of the model is the rotation angle of the visual axis, the input [H(s)] of the model is the rotation angle of the head, [ε(s)] is the displacement of the tracked ground moving target obtained by retinal image processing, T v is the time constant of the vestibular nucleus receiving information (the data obtained from the physiological experiment is 16s), and T n is the time constant of the nerve integration (the data obtained from the physiological experiment is 25s). α, λ, and γ are the conversion gains of the neural circuit to the head angular velocity signal, the angular displacement and angular velocity of the tracked target, and the value range is 0-1.

在本跟踪系统中其仿生对应关系是:模型的输出[E(s)]是PTZ摄像机的光轴转角;模型的输入[H(s)]是超小型无人旋翼机SUAV-X160的运动姿态信息,即飞行器的俯仰角速率和偏航角速率,由相当于半规管的2个角速率陀螺分别感知;模型的另一输入[ε(s)]是机载图像处理单元得到的被跟踪地面运动目标的位移;PTZ摄像机相当于人眼眼球,其驱动摄像机旋转(P)、侧倾(T)、变焦(Z)的电机相当于眼肌,机载仿生控制微处理器及其控制软件相当于眼球运动控制神经回路。The bionic corresponding relationship in this tracking system is: the output [E(s)] of the model is the optical axis rotation angle of the PTZ camera; the input [H(s)] of the model is the movement attitude of the ultra-small unmanned rotorcraft SUAV-X160 The information, that is, the pitch rate and yaw rate of the aircraft, are respectively sensed by the two angular rate gyroscopes equivalent to the semicircular canal; the other input [ε(s)] of the model is the tracked ground motion obtained by the airborne image processing unit The displacement of the target; the PTZ camera is equivalent to the eyeball of the human eye, and the motors that drive the camera to rotate (P), roll (T) and zoom (Z) are equivalent to eye muscles, and the onboard bionic control microprocessor and its control software are equivalent to Eye movements control neural circuits.

上述的机载PTZ摄像机安装在飞行器的机体前下方,机载仿生控制微处理器和机载图像处理单元紧随其后也安装于机体下方。The above-mentioned airborne PTZ camera is installed at the front lower part of the aircraft body, and the airborne bionic control microprocessor and the airborne image processing unit are also installed at the lower body of the aircraft.

上述系统中,机载图像处理单元的跟踪图像和机载仿生控制微处理器的跟踪数据通过一对无线传输模块与地面监控站主机通信,地面控制指令通过无线扩频数传电台与机载仿生控制微处理器通信。In the above system, the tracking image of the airborne image processing unit and the tracking data of the airborne bionic control microprocessor communicate with the host computer of the ground monitoring station through a pair of wireless transmission modules, and the ground control commands communicate with the airborne bionic control station through a wireless spread spectrum digital transmission station. Controls microprocessor communications.

上述的飞行器采用SUAV-X160型超小型无人旋翼机。The above-mentioned aircraft adopts the SUAV-X160 type ultra-small unmanned rotorcraft.

上述的机载图像处理单元的微处理器采用TMS320DM642型TI DSP微处理器。The microprocessor of the above-mentioned airborne image processing unit adopts TMS320DM642 TI DSP microprocessor.

机载PTZ摄像机的仿生控制微处理器采用C8051F021型微处理器。The bionic control microprocessor of the airborne PTZ camera adopts the C8051F021 microprocessor.

上述的PTZ摄像机采用Canon VC-C50iR。The PTZ camera mentioned above uses Canon VC-C50iR.

上述陀螺采用Murata ENC-03M型角速度陀螺。The above gyroscope adopts Murata ENC-03M angular velocity gyroscope.

PTZ摄像机的仿生控制原理是:将上述眼球运动控制数学模型公式(1)写入机载仿生控制微处理器的软件,由2个陀螺分别获取飞行器的俯仰、偏航角速率,作为仿头部转动信息输入到机载仿生控制微处理器;PTZ摄像机捕获的跟踪地面运动目标的图像输入到机载图像处理单元,相当于视网膜,得到目标运动信息,反馈给机载仿生控制微处理器。机载仿生控制微处理器按仿生眼球运动控制的数学模型公式(1)的控制律作用于上述2方面的输入,产生控制PTZ摄像机转动的输出信息,通过串口传送到PTZ摄像机。The bionic control principle of the PTZ camera is: the above-mentioned eye movement control mathematical model formula (1) is written into the software of the onboard bionic control microprocessor, and the pitch and yaw angular rates of the aircraft are respectively obtained by the two gyroscopes as the artificial head. The rotation information is input to the airborne bionic control microprocessor; the image captured by the PTZ camera tracking the ground moving target is input to the airborne image processing unit, which is equivalent to the retina, and the target motion information is obtained, which is fed back to the airborne bionic control microprocessor. The airborne bionic control microprocessor acts on the above two inputs according to the control law of the mathematical model formula (1) of bionic eye movement control, and generates output information that controls the rotation of the PTZ camera, which is transmitted to the PTZ camera through the serial port.

本发明具有如下显而易见的突出特点和显著优点:本发明采用仿生人眼眼球运动控制生理神经回路的仿生控制律,来控制机载PTZ摄像机运动,实现前庭动眼反射、急动性眼球运动、平滑性眼球运动、视机性反射等人眼特有的仿生运动特性,使之能够象人眼一样连续、平滑、清晰、稳定地跟踪地面移动目标,这可大大提高地面运动目标低空自动跟踪系统的性能。而且还为研制当今机器人迫切需要的像人眼这样具有诸多特殊自然功能的仿生型机器人眼探索出有效途径。The present invention has the following obvious outstanding features and significant advantages: the present invention adopts the bionic control law of the bionic human eye movement to control the physiological neural circuit to control the movement of the airborne PTZ camera to realize vestibular oculomotor reflex, jerk eye movement, smooth The unique bionic movement characteristics of the human eye, such as sexual eye movement and visual reflex, enable it to track moving ground targets continuously, smoothly, clearly and stably like the human eye, which can greatly improve the performance of the low-altitude automatic tracking system for ground moving targets . Moreover, it also explores an effective way for the development of the bionic robot eye with many special natural functions like the human eye, which is urgently needed by today's robots.

附图说明 Description of drawings

图1是本发明的一个实施例的系统控制框图。Fig. 1 is a system control block diagram of an embodiment of the present invention.

图2是本发明的一个实施例的系统构成图。Fig. 2 is a system configuration diagram of an embodiment of the present invention.

具体实施方式 Detailed ways

本发明的一个优选实施例是:参见图1和图2,PTZ摄像机5安装于超小型无人旋翼机1的机体前下方,其仿生控制微处理器3和机载图像处理单元4紧随其后也安装于超小型无人旋翼机1的机体下方。PTZ摄像机5的Vout端子与机载图像处理单元4的Vin连接。机载图像处理单元4的数据输出串口与仿生控制微处理器3的数据输入串口连接。仿生控制微处理器3的控制信息输出端口与PTZ摄像机5的数据端口连接。安装于超小型无人旋翼机1机体后下方的飞控系统2与仿生控制微处理器3通过另一串口连接。机载图像处理单元的跟踪图像和机载仿生控制微处理器的跟踪数据通过一对无线传输模块9与地面监控站主机8通信。地面控制指令通过无线扩频数传电台7与机载仿生控制微处理器3通信。A preferred embodiment of the present invention is: referring to Fig. 1 and Fig. 2, PTZ camera 5 is installed on the body front bottom of ultra-small unmanned rotorcraft 1, and its bionic control microprocessor 3 and airborne image processing unit 4 follow it It is also installed under the body of the ultra-small unmanned rotorcraft 1. The Vout terminal of the PTZ camera 5 is connected to the Vin of the onboard image processing unit 4 . The data output serial port of the onboard image processing unit 4 is connected with the data input serial port of the bionic control microprocessor 3 . The control information output port of the bionic control microprocessor 3 is connected with the data port of the PTZ camera 5 . The flight control system 2 installed in the rear bottom of the ultra-small unmanned rotorcraft 1 body is connected with the bionic control microprocessor 3 through another serial port. The tracking image of the airborne image processing unit and the tracking data of the airborne bionic control microprocessor are communicated with the host computer 8 of the ground monitoring station through a pair of wireless transmission modules 9 . The ground control command communicates with the airborne bionic control microprocessor 3 through the wireless spread spectrum digital transmission station 7 .

PTZ摄像机5捕获的跟踪地面运动目标6的图像输入到机载图像处理单元4,得到目标运动信息,反馈给机载仿生控制微处理器3,超小型无人旋翼机1的飞控系统2通过俯仰角速率陀螺和偏航角速率陀螺感知旋翼机1的姿态信息,相当于半规管感知头部信息,然后输入到机载仿生控制微处理器3,仿生眼球运动控制的数学模型公式作为控制律编入机载仿生控制微处理器3的软件,其串口输出信号分别控制PTZ摄像机5的旋转(P)、侧倾(T)、变焦(Z)电机。PTZ摄像机5与超小型无人旋翼机1之间还有协调混合控制,采用PTZ摄像机5优先响应跟踪地面运动目标的方法。The image of the tracking ground moving target 6 captured by the PTZ camera 5 is input to the airborne image processing unit 4 to obtain target motion information, which is fed back to the airborne bionic control microprocessor 3, and the flight control system 2 of the ultra-small unmanned rotorcraft 1 passes The pitch rate gyro and the yaw rate gyro perceive the attitude information of the rotorcraft 1, which is equivalent to the semicircular canal sensing the head information, and then input it to the airborne bionic control microprocessor 3, and the mathematical model formula of the bionic eye movement control is used as the control law code Enter the software of the airborne bionic control microprocessor 3, and its serial port output signals control the rotation (P), roll (T) and zoom (Z) motors of the PTZ camera 5 respectively. There is also a coordinated mixed control between the PTZ camera 5 and the ultra-small unmanned rotorcraft 1, and the method that the PTZ camera 5 responds preferentially to track the ground moving target is adopted.

Claims (5)

1. ground moving object low latitude automatic tracking system based on bionics human eyes control, comprise aircraft (1) and flight control system (2) thereof, airborne Pan/Tilt/Zoom camera (5), the video output terminal Vout that it is characterized in that airborne Pan/Tilt/Zoom camera (5) is connected with the video input terminal Vin of an airborne graphics processing unit (4), the data output serial ports of airborne graphics processing unit (4) is connected with the data input serial ports of an airborne bionical control microprocessor (3), the FPDP of the control information output port of airborne bionical control microprocessor (3) and airborne Pan/Tilt/Zoom camera (5) is connected in series, and the flight control system (2) of aircraft (1) is connected by another serial ports with airborne bionical control microprocessor (3); The software of airborne bionical control microprocessor (3) writes bionical eye movement mathematics of control model formation (1), thereby rotation P, the inclination T of airborne Pan/Tilt/Zoom camera (5) and the motor of zoom Z are controlled in the output control information respectively.
2. the ground moving object low latitude automatic tracking system based on bionics human eyes control according to claim 1 is characterized in that described bionical eye movement mathematics of control model formation is:
[ E ( s ) ] = T n ( T n s + 1 ) { α T v s 2 T v s + 1 [ H ( s ) ] + ( γs + λ ) [ ϵ ( s ) ] }
The output of model in the formula [E (s)] expression optical axis corner, the input of model [H (s)] expression head movement corner, [ε (s)] expression retinal images is handled the displacement of the tracked ground moving object that obtains, T vRepresent nucleus (nervi) vestibularis to receive the time constant of information, be 16s, T nRepresent neural integration time constant, be 25s, α, λ, γ represent neural circuit to the angular displacement of head angular velocity signal, tracked target and the conversion gain of angular velocity respectively, span 0~1,
The optical axis corner of the output of above-mentioned mathematical model [E (s)] expression Pan/Tilt/Zoom camera; The athletic posture information of the input of above-mentioned mathematical model [H (s)] expression aircraft, promptly the angle of pitch speed and the yawrate of aircraft are distinguished perception by 2 angular rate gyroscopes that are equivalent to semicircular canal; The displacement of the tracked ground moving object that the airborne graphics processing unit of another input of above-mentioned mathematical model [ε (s)] expression obtains.
3. the ground moving object low latitude automatic tracking system based on bionics human eyes control according to claim 1 is characterized in that described aircraft (1) adopts SUAV-X160 type microminiature unmanned gyroplane; The microprocessor of described airborne graphics processing unit (4) adopts TMS320DM642 type TI DSP microprocessor; Described airborne video camera (5) adopts Canon VC-C50iR video camera; Described airborne bionical control microprocessor (3) adopts C8051F021 type microprocessor; Adopt Murata ENC-03M type angular velocity gyro in the described flight control system (2).
4. the ground moving object low latitude automatic tracking system based on bionics human eyes control according to claim 1, it is characterized in that described airborne Pan/Tilt/Zoom camera (5) is installed in the body front lower place of aircraft (1), airborne bionical control microprocessor (3) and airborne graphics processing unit (4) also are installed on the body below following closely.
5. according to claim 1 or 4 described ground moving object low latitude automatic tracking systems based on bionics human eyes control, it is characterized in that the tracking image of airborne graphics processing unit and the tracking data of airborne bionical control microprocessor communicate by letter with ground monitoring station host (8) by a pair of wireless transport module (9), the Ground Control instruction is communicated by letter with airborne bionical control microprocessor (3) by a pair of wireless frequency expansion data radio station (7).
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Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101667032B (en) * 2008-09-03 2012-09-05 中国科学院自动化研究所 Vision-based target tracking system using unmanned helicopter
KR101291414B1 (en) * 2009-10-23 2013-07-30 알까뗄 루슨트 Improved method and system for video monitoring
CN103176274B (en) * 2011-12-21 2015-08-26 中原工学院 High telepresence human eye bionic three-dimensional liquid crystal display helmet
CN102722697B (en) * 2012-05-16 2015-06-03 北京理工大学 Unmanned aerial vehicle autonomous navigation landing visual target tracking method
CN106155113B (en) * 2016-08-29 2019-03-15 中国科学院自动化研究所 Bionic eye movement eye control method
CN108982514A (en) * 2018-07-12 2018-12-11 常州大学 A kind of bionical vision detection system of casting surface defect

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2242590A (en) * 1989-11-22 1991-10-02 Marconi Gec Ltd Visual tracking apparatus
US5490075A (en) * 1994-08-01 1996-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Global positioning system synchronized active light autonomous docking system
US5727132A (en) * 1994-08-25 1998-03-10 Faunc Ltd. Robot controlling method for tracking a moving object using a visual sensor
US20020076087A1 (en) * 2000-10-27 2002-06-20 Korea Institute Of Science And Technology Visual tracking method by color information
CN1492668A (en) * 2002-10-22 2004-04-28 �Ϻ��׿Ƶ���ϵͳ�������ι�˾ Bionic automatic vision and sight control system and method
JP2004240591A (en) * 2003-02-04 2004-08-26 Institute Of Physical & Chemical Research Sensitivity adjusting method for optical sensor, sensitivity adjusting device for optical sensor, visual tracking control method, and visual tracking control device
CN1619593A (en) * 2004-12-09 2005-05-25 上海交通大学 Adaptive tracking method of video moving target based on multi-feature information fusion
CN1757492A (en) * 2004-10-05 2006-04-12 发那科株式会社 Robot system with vision sensor

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2242590A (en) * 1989-11-22 1991-10-02 Marconi Gec Ltd Visual tracking apparatus
US5490075A (en) * 1994-08-01 1996-02-06 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Global positioning system synchronized active light autonomous docking system
US5727132A (en) * 1994-08-25 1998-03-10 Faunc Ltd. Robot controlling method for tracking a moving object using a visual sensor
US20020076087A1 (en) * 2000-10-27 2002-06-20 Korea Institute Of Science And Technology Visual tracking method by color information
CN1492668A (en) * 2002-10-22 2004-04-28 �Ϻ��׿Ƶ���ϵͳ�������ι�˾ Bionic automatic vision and sight control system and method
JP2004240591A (en) * 2003-02-04 2004-08-26 Institute Of Physical & Chemical Research Sensitivity adjusting method for optical sensor, sensitivity adjusting device for optical sensor, visual tracking control method, and visual tracking control device
CN1757492A (en) * 2004-10-05 2006-04-12 发那科株式会社 Robot system with vision sensor
CN1619593A (en) * 2004-12-09 2005-05-25 上海交通大学 Adaptive tracking method of video moving target based on multi-feature information fusion

Non-Patent Citations (10)

* Cited by examiner, † Cited by third party
Title
仿生眼的研究现状与发展趋势. 邹海荣,龚振邦,罗均.机器人,第27卷第5期. 2005
仿生眼的研究现状与发展趋势. 邹海荣,龚振邦,罗均.机器人,第27卷第5期. 2005 *
基于倾角传感器和角速率陀螺的超小型无人直升机姿态控制器. 邓寅喆,刘亮,龚振邦.机电一体化,第4期. 2004
基于倾角传感器和角速率陀螺的超小型无人直升机姿态控制器. 邓寅喆,刘亮,龚振邦.机电一体化,第4期. 2004 *
机器人视觉伺服及路径规划的研究现状与发展趋势分析. 郭小勤,徐刚.机床与液压,第10期. 2005
机器人视觉伺服及路径规划的研究现状与发展趋势分析. 郭小勤,徐刚.机床与液压,第10期. 2005 *
视觉跟踪系统控制结构的研究. 徐海黎,王孙安,庄健,张兴国.机械设计与制造,第5期. 2005
视觉跟踪系统控制结构的研究. 徐海黎,王孙安,庄健,张兴国.机械设计与制造,第5期. 2005 *
运动目标视觉跟踪系统的控制特性研究. 邹海荣,龚振邦,罗均.上海电机学院学报,第9卷第2期. 2006
运动目标视觉跟踪系统的控制特性研究. 邹海荣,龚振邦,罗均.上海电机学院学报,第9卷第2期. 2006 *

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