Illumination invariant stationary object detection

Hassan, Waqas, Birch, Philip, Mitra, Bhargav, BangaloreManjunathamurthy, Nagachetan, Young, Rupert and Chatwin, Chris (2013) Illumination invariant stationary object detection. IET Computer Vision, 7 (1). pp. 1-8. ISSN 1751-9632

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Abstract

A real-time system for the detection and tracking of moving objects that becomes stationary in a restricted zone. A new pixel classification method based on the segmentation history image is used to identify stationary objects in the scene. These objects are then tracked using a novel adaptive edge orientation-based tracking method. Experimental results have shown that the tracking technique gives more than a 95% detection success rate, even if objects are partially occluded. The tracking results, together with the historic edge maps, are analysed to remove objects that are no longer stationary or are falsely identified as foreground regions because of sudden changes in the illumination conditions. The technique has been tested on over 7 h of video recorded at different locations and time of day, both outdoors and indoors. The results obtained are compared with other available state-of-the-art methods.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology
Depositing User: Philip Birch
Date Deposited: 17 May 2013 13:10
Last Modified: 10 Mar 2017 04:04
URI: http://sro.sussex.ac.uk/id/eprint/44740

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