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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Denman, S. Halstead, M. Bialkowski, A. Fookes, C. Sridharan, S. |
| Copyright Year | 2012 |
| 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. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 3033359 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467321808 |
| e-ISBN | 9781467321815 |
| e-ISBN | 9781467321792 |
| DOI | 10.1109/DICTA.2012.6411729 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-12-03 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Torso Image color analysis Databases Avatars Motion segmentation Semantics Feature extraction |
| Content Type | Text |
| Resource Type | Article |
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