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Illumination invariant stationary object detection

journal contribution
posted on 2023-06-08, 14:57 authored by Waqas Hassan, Phil BirchPhil Birch, Bhargav Mitra, Nagachetan BangaloreManjunathamurthy, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
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.

History

Publication status

  • Published

Journal

IET Computer Vision

ISSN

1751-9632

Publisher

Institution of Engineering and Technology

Issue

1

Volume

7

Page range

1-8

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2013-05-17

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    University of Sussex (Publications)

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