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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | San Miguel, J.C. Martinez, J.M. |
| Copyright Year | 2008 |
| Description | Author affiliation: Grupo de Tratamiento de Imagenes, Univ. Autonoma de Madrid, Madrid, Spain (San Miguel, J.C.; Martinez, J.M.) |
| Abstract | In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors. As a first step, the moving regions in the scene are detected and tracked. Then, these regions are classified as static or dynamic objects and human or nonhuman objects. Finally, objects detected as static and nonhuman are analyzed with each detector. Data from these detectors are fused together to select the best detection hypotheses. Experimental results show that the fusion-based approach increases the detection reliability as compared to the detectors and performs considerably well across a variety of multiple scenarios operating at realtime. |
| Starting Page | 18 |
| Ending Page | 25 |
| File Size | 525948 |
| Page Count | 8 |
| File Format | |
| ISBN | 9780769533414 |
| DOI | 10.1109/AVSS.2008.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Event detection Surveillance Computerized monitoring Layout Humans Object detection Detectors Packaging Robustness |
| Content Type | Text |
| Resource Type | Article |
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