Distributed Sigma Point Information Filters for Target Tracking in Camera Networks

Kumar, Shiva KA and Ramakrishnan, KR and Rathna, GN (2015) Distributed Sigma Point Information Filters for Target Tracking in Camera Networks. In: 14th IAPR International Conference on Machine Vision Applications (MVA), MAY 18-22, 2015, Tokyo, JAPAN, pp. 373-377.

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Abstract

Distributed processing is a new paradigm to analyse the huge volume of video data in camera networks. This paper addresses the problem of distributed single target tracking considering false positives and missed detections. Target tracking is modelled as a dynamic state estimation problem with nonlinear process and measurement model. We propose to use the sigma point information filters combined with a consensus algorithm. Sigma point information filters are integrated with probabilistic data association filter to deal with false positives and missed detections. We use a distributed average consensus algorithm which converges in finite time. Unlike other related state of the art technique papers, we report results on real data and show the effectiveness of the proposed algorithm.

Item Type:	Conference Proceedings
Additional Information:	Copy right for this article belongs to the IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	08 Oct 2016 05:34
Last Modified:	08 Oct 2016 05:34
URI:	http://eprints.iisc.ac.in/id/eprint/54731

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