[go: up one dir, main page]

Wang et al., 2023 - Google Patents

Automatic identification and analysis of multi-object cattle rumination based on computer vision

Wang et al., 2023

View HTML
Document ID
9976494076933203396
Author
Wang Y
Chen T
Li B
Li Q
Publication year
Publication venue
Journal of Animal Science and Technology

External Links

Snippet

Rumination in cattle is closely related to their health, which makes the automatic monitoring of rumination an important part of smart pasture operations. However, manual monitoring of cattle rumination is laborious and wearable sensors are often harmful to animals. Thus, we …
Continue reading at pmc.ncbi.nlm.nih.gov (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications

Similar Documents

Publication Publication Date Title
Fuentes et al. Deep learning-based hierarchical cattle behavior recognition with spatio-temporal information
Yang et al. Feeding behavior recognition for group-housed pigs with the Faster R-CNN
Fernandes et al. A novel automated system to acquire biometric and morphological measurements and predict body weight of pigs via 3D computer vision
Kang et al. Dimension-reduced spatiotemporal network for lameness detection in dairy cows
Ma et al. Basic motion behavior recognition of single dairy cow based on improved Rexnet 3D network
Wang et al. Automatic identification and analysis of multi-object cattle rumination based on computer vision
Li et al. Cow individual identification based on convolutional neural network
Myint et al. Development of a real-time cattle lameness detection system using a single side-view camera
Li et al. Temporal aggregation network using micromotion features for early lameness recognition in dairy cows
Wang et al. A deep learning approach combining DeepLabV3+ and improved YOLOv5 to detect dairy cow mastitis
Guo et al. Sheep face image dataset and DT-YOLOv5s for sheep breed recognition
Nasiri et al. An automated video action recognition-based system for drinking time estimation of individual broilers
Nasiri et al. Automated detection and counting of broiler behaviors using a video recognition system
Ruchay et al. On-barn cattle facial recognition using deep transfer learning and data augmentation
Bastiaansen et al. Continuous real-time cow identification by reading ear tags from live-stream video
Bati et al. SHEEPFEARNET: Sheep fear test behaviors classification approach from video data based on optical flow and convolutional neural networks
Lin et al. A framework for single-panicle litchi flower counting by regression with multitask learning
Ahmed et al. Dataset of cattle biometrics through muzzle images
Mantovani et al. Predicting respiration rate in unrestrained dairy cows using image analysis and fast Fourier transform
Ferreira et al. Multi-modal machine learning for the early detection of metabolic disorder in dairy cows using a cloud computing framework
Gao et al. UD-YOLOv5s: Recognition of cattle regurgitation behavior based on upper and lower jaw skeleton feature extraction
Xiao et al. A novel and convenient lying cow identification method based on YOLOX and CowbodyNet: A study with applications in a barn
Bati et al. Improved sheep identification and tracking algorithm based on YOLOv5+ SORT methods
Devi et al. Deep learning aided computer vision system for automated linear type trait evaluation in dairy cows
Yang et al. An Efficient Multi-Scale Attention two-stream inflated 3D ConvNet network for cattle behavior recognition