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Sydney, NSW, Australia
Nov. 22, 2006 to Nov. 24, 2006
ISBN: 0-7695-2688-8
pp: 25
Vinod Chandran , Queensland University of Technology, Australia
Sridha Sridharan , Queensland University of Technology, Australia
Simon Denman , Queensland University of Technology, Australia
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.
INDEX TERMS
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CITATION
Vinod Chandran, Sridha Sridharan, Simon Denman, "A Multi-Class Tracker Using a Scalable Condensation Filter", AVSS, 2006, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance 2006, pp. 25, doi:10.1109/AVSS.2006.7
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