Biologically inspired features for scene classification in video surveillance

Huang, K. and Tao, D. and Yuan, Y. and Li, Xuelong and Tan, T. (2011) Biologically inspired features for scene classification in video surveillance. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 (1), pp. 307-313. ISSN 1083-4419.

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Official URL: http://dx.doi.org/10.1109/TSMCB.2009.2037923

Abstract

Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective , and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper.

Metadata

Item Type:	Article
School:	School of Business, Economics & Informatics > Computer Science and Information Systems
Depositing User:	Sarah Hall
Date Deposited:	07 Jun 2013 13:24
Last Modified:	11 Oct 2016 15:27
URI:	https://eprints.bbk.ac.uk/id/eprint/7397

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