Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/11487
Title: Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking
Authors: Zhou, H
Fei, M
Sadka, A
Zhang, Y
Li, X
Keywords: Computer vision;Object tracking;Occlusion;Colour;Motion energy
Issue Date: 2014
Publisher: Elsevier
Citation: Pattern Recognition, 47 (11): 3552 - 3567, ( 2014)
Abstract: Object tracking is an active research area nowadays due to its importance in human computer interface, teleconferencing and video surveillance. However, reliable tracking of objects in the presence of occlusions, pose and illumination changes is still a challenging topic. In this paper, we introduce a novel tracking approach that fuses two cues namely colour and spatio-temporal motion energy within a particle filter based framework. We conduct a measure of coherent motion over two image frames, which reveals the spatio-temporal dynamics of the target. At the same time, the importance of both colour and motion energy cues is determined in the stage of reliability evaluation. This determination helps maintain the performance of the tracking system against abrupt appearance changes. Experimental results demonstrate that the proposed method outperforms the other state of the art techniques in the used test datasets.
URI: http://www.sciencedirect.com/science/article/pii/S0031320314001915
http://bura.brunel.ac.uk/handle/2438/11487
DOI: http://dx.doi.org/10.1016/j.patcog.2014.05.006
ISSN: 0031-3203
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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