A two-stage approach to detect abandoned baggage in public places

Bhargav Kumar Mitra; Waqas Hassan; Philip Birch; Akber Gardezi; Rupert Young; Chris Chatwin

doi:10.1117/12.849215

15 April 2010 A two-stage approach to detect abandoned baggage in public places

Bhargav Kumar Mitra, Waqas Hassan, Philip Birch, Akber Gardezi, Rupert Young, Chris Chatwin

Proceedings Volume 7701, Visual Information Processing XIX; 770107 (2010) https://doi.org/10.1117/12.849215
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

Baggage abandoned in public places can pose a serious security threat. In this paper a two-stage approach that works on video sequences captured by a single immovable CCTV camera is presented. At first, foreground objects are segregated from static background objects using brightness and chromaticity distortion parameters estimated in the RGB colour space. The algorithm then locks on to binary blobs that are static and of 'bag' sizes; the size constraints used in the scheme are chosen based on empirical data. Parts of the background frame and current frames covered by a locked mask are then tracked using a 1-D (unwrapped) pattern generated using a bi-variate frequency distribution in the rg chromaticity space. Another approach that uses edge maps instead of patterns generated using the fragile colour information is discussed. In this approach the pixels that are part of an edge are marked using a novel scheme that utilizes four 1-D Laplacian kernels; tracking is done by calculating the total entropy in the intensity images in the sections encompassed by the binary edge maps. This makes the process broadly illumination invariant. Both the algorithms have been tested on the iLIDS dataset (produced by the Home Office Scientific Development Branch in partnership with Security Service, United Kingdom) and the results obtained are encouraging.

Citation Download Citation

Bhargav Kumar Mitra, Waqas Hassan, Philip Birch, Akber Gardezi, Rupert Young, and Chris Chatwin "A two-stage approach to detect abandoned baggage in public places", Proc. SPIE 7701, Visual Information Processing XIX, 770107 (15 April 2010); https://doi.org/10.1117/12.849215

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