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Novelty detection in human tracking based on spatiotemporal oriented energies

Emami, Ali; Harandi, Mehrtash; Dadgostar, Farhad; Lovell, Brian C

Description

Integrated analysis of spatial and temporal domains is considered to overcome some of the challenging computer vision problems such as ‘Dynamic Scene Understanding’ and ‘Action Recognition’. In visual tracking, ‘Spatiotemporal Oriented Energy’ (SOE) features are successfully applied to locate the object in cluttered scenes under varying illumination. In contrast to previous studies, this paper introduces SOE features for occlusion modeling and novelty detection in tracking. To this end, we...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
URI: http://hdl.handle.net/1885/103485
Source: Pattern Recognition
DOI: 10.1016/j.patcog.2014.07.004

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