Bio-Inspired Pedestrian Detection and Tracking
نویسندگان
چکیده
Pedestrian detection and tracking remains a popular issue in computer vision, spawning many applications in robotics, surveillance and security, biometrics and humancomputer interaction. In this paper we present a biological framework for detecting and tracking pedestrians by using a monocular moving camera. This framework is based on visual cortex cells, namely complex and end-stopped cells, the last being used to extract keypoints. By employing a modified HOG descriptor combined with the responses of complex cells and a linear SVM, pedestrians can be detected. By combining the above information with keypoints, motion information and tracked features, persons can be tracked in complex scenarios where partial occlusions exist. Keywords— Cortical cells, tracking, keypoints, pedestrians.
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