Please use this identifier to cite or link to this item:
Title: Tracking people
Authors: Ng, K.P.
Ranganath, S. 
Issue Date: 2002
Source: 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
ISSN: 10514651
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Mar 9, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.