Human Body Detection and Tracking for Video Surveillance   Haiying Guan and Ronda Venkateswarlu   Aug. 2000- Sept. 2001   Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technological University

Overview

The project mainly focuses on the detection and tracking of a human body and head. We proposed a multi-modal algorithm with different kinds of features, such as color, head ellipse, and head-edge template. The human face is detected by the face detection technique, and then the head and body are tracked by the combinations of three tracking techniques: partial ellipse tracking, head color histogram tracking, and head edge template tracking. The hybrid multi-modal algorithm supports front-view, profile-view and rear-view of human head tracking. It can adapt to the scale and lighting changes, and it can handle the occlusions to some extent. The multi-modal algorithm has been tested with a real-word image sequences.

Report

[1] Haiying Guan and Ronda Venkateswarlu, “Adaptive Multi-modal Algorithm on Human Detection and Tracking”, Centre for Signal Processing, School of Electrical and Electronic Engineering, Nanyang Technological University, Sept. 2001. (PDF)