Bio-Inspired Pedestrian Detection and Tracking

J.M.H., DU BUF and JOAO, M.F. RODRIGUES and MIGUEL, FARRAJOTA (2015) Bio-Inspired Pedestrian Detection and Tracking. In: Third International Conference on Advances in Bio-Informatics, Bio-Technology and Environmental Engineering- ABBE 2015, 26 - 27 May,2015, Birmingham B42 2SU, UNITED KINGDOM.

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Abstract

Pedestrian detection and tracking remains a popular issue in computer vision, spawning many applications in robotics, surveillance and security, biometrics and human-computer 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cortical cells, tracking, keypoints, pedestrians.
Depositing User: Mr. John Steve
Date Deposited: 30 Apr 2019 11:36
Last Modified: 30 Apr 2019 11:36
URI: http://publications.theired.org/id/eprint/1726

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