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Can you describe him for me? A technique for semantic person search in video

Denman, Simon, Halstead, Michael, Bialkowski, Alina, Fookes, Clinton B., & Sridharan, Sridha (2012) Can you describe him for me? A technique for semantic person search in video. In Proceedings of Digital Image Computing : Techniques and Applications 2012, IEEE, Esplanade Hotel, Fremantle, WA, pp. 1-8.

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Abstract

From a law enforcement standpoint, the ability to search for a person matching a semantic description (i.e. 1.8m tall, red shirt, jeans) is highly desirable. While a significant research effort has focused on person re-detection (the task of identifying a previously observed individual in surveillance video), these techniques require descriptors to be built from existing image or video observations. As such, person re-detection techniques are not suited to situations where footage of the person of interest is not readily available, such as a witness reporting a recent crime. In this paper, we present a novel framework that is able to search for a person based on a semantic description. The proposed approach uses size and colour cues, and does not require a person detection routine to locate people in the scene, improving utility in crowded conditions. The proposed approach is demonstrated with a new database that will be made available to the research community, and we show that the proposed technique is able to correctly localise a person in a video based on a simple semantic description.

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ID Code: 53412
Item Type: Conference Paper
Keywords: Semantic search, Soft biometrics, Database, Person detection , Video search
DOI: 10.1109/DICTA.2012.6411729
ISBN: 978-1-4673-2181-5
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright © 2012 by the Institute of Electrical and Electronic Engineers, Inc. All rights reserved.
Copyright Statement: Copyright and Reprint Permissions Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the per-copy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923.
Deposited On: 31 Aug 2012 08:08
Last Modified: 25 Jan 2013 07:38

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