Abstract
Head detection is a relatively well studied problem in computer vision. Several methods for head detection are proposed such as motion based method [6], disparity map [7], skin color method [8] and a head-shoulder contour [9]. Those methods are mainly based on stereo vision and color information for detecting the head. Our application domain is the telematics, especially within the car. In such environment, the illumination level is very variable. Moreover, we may need to use infrared illumination to capture the occupant in the night. Therefore, it is difficult to utilize the color information.
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Kim, YG., Lee, JE., Kim, SJ., Choi, SM., Park, GT. (2005). Head Detection of the Car Occupant Based on Contour Models and Support Vector Machines. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_8
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DOI: https://doi.org/10.1007/11504894_8
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