A Multi-Class Tracker Using a Scalable Condensation Filter

Denman, Simon P., Chandran, Vinod, Sridharan, Sridha, & Fookes, Clinton B. (2006) A Multi-Class Tracker Using a Scalable Condensation Filter. In IEEE International Conference on Video and Signal Based Surveillance 2006, 22-24 Novermber 2006, Sydney, NSW.

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Abstract

Tracking systems are typically targeted towards tracking a single class of object. In many real world situations, and in the ETISEO evaluation, it is advantageous to be able to track multiple classes of objects. In this paper we describe the adaptation of a single class tracking system to a multi-class tracking system, and describe a modified version of the condensation filter that can be used to track all objects, of all classes. We show that by using simple targeted detectors, we can achieve accurate tracking and can accurately distinguish between classes.

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ID Code: 9311
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/AVSS.2006.7
ISBN: 0769526888
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 04 Sep 2007 00:00
Last Modified: 29 Feb 2012 13:22

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