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|Title:||Tracking people||Authors:||Ng, K.P.
|Issue Date:||2002||Citation:||Ng, K.P.,Ranganath, S. (2002). Tracking people. Proceedings - International Conference on Pattern Recognition 16 (2) : 370-373. ScholarBank@NUS Repository.||Abstract:||This paper describes a real time system for tracking people using colour cues. People are tracked as they enter, move about and interact with one another in the monitored scene. Those who have re-entered the scene are also identified. The implemented tracker uses a simple yet effective technique allowing unsupervised background modelling based on video sequences that may contain foreground objects (people). A simple extension of the technique allows the automatic reconstruction of the background model when drastic changes occur due to accidental camera shift. For color matching, the use of a 16×16 histogram with variable bin widths was found to give better performance than uniform histograms. Its performance was comparable to a 5-component Mixture of Gaussions and had a significant advantage in computational speed. To enable the tracker to cope with events such as occlusion, group formation and splits, a heuristics based match assignment algorithm was designed, implemented and was tested to effective. The implemented tracker works at around 12fps. © 2002 IEEE.||Source Title:||Proceedings - International Conference on Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/51268||ISSN:||10514651|
|Appears in Collections:||Staff Publications|
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