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Technical Program
Paper Detail
| Paper: | TP-L5.5 |
| Session: | Video Surveillance |
| Time: | Tuesday, October 10, 16:00 - 16:20 |
| Presentation: |
Lecture
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| Title: |
MATCHING OF OBJECTS MOVING ACROSS DISJOINT CAMERAS |
| Authors: |
Eric Dahai Cheng; University of Technology, Sydney | | | | | Massimo Piccardi; University of Technology, Sydney | | |
| Abstract: |
Matching of single individuals as they move across disjoint camera views is a challenging task in video surveillance. In this paper, we present a novel algorithm capable of matching single individuals in such a scenario based on appearance features. In order to reduce the variable illumination effects typical of a disjoint camera environment, a cumulative color histogram transformation is first applied to the segmented moving object. Then, an Incremental Major Color Spectrum Histogram Representation (IMCSHR) is used to represent the appearance of a moving object and cope with small pose changes occurring along the track. An IMCHSR-based similarity measurement algorithm is proposed to measure the similarity of any two segmented moving objects. A final step of post-matching integration along the object’s track is eventually applied. Experimental results show that the proposed approach proved capable of providing correct matching in typical situations |
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