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 tracki...Show MoreMetadata
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.
Date of Conference: 18-22 May 2015
Date Added to IEEE Xplore: 13 July 2015
Electronic ISBN:978-4-9011-2214-6