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Group segmentation during object tracking using optical flow discontinuities

Denman, Simon, Fookes, Clinton B., & Sridharan, Sridha (2010) Group segmentation during object tracking using optical flow discontinuities. In Proceedings of the 4th Pacific-Rim Symposium on Image and Video Technology, IEEE Computer Society, Nanyang Technological University, Singapore, pp. 270-275.

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Abstract

Within a surveillance video, occlusions are commonplace, and accurately resolving these occlusions is key when seeking to accurately track objects. The challenge of accurately segmenting objects is further complicated by the fact that within many real-world surveillance environments, the objects appear very similar. For example, footage of pedestrians in a city environment will consist of many people wearing dark suits. In this paper, we propose a novel technique to segment groups and resolve occlusions using optical flow discontinuities. We demonstrate that the ratio of continuous to discontinuous pixels within a region can be used to locate the overlapping edges, and incorporate this into an object tracking framework. Results on a portion of the ETISEO database show that the proposed algorithm results in improved tracking performance overall, and improved tracking within occlusions.

Impact and interest:

2 citations in Scopus
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ID Code: 38736
Item Type: Conference Paper
Keywords: Object Tracking, Group Segmentation, Optical Flow, Occlusion
DOI: 10.1109/PSIVT.2010.52
ISBN: 9780769542850
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 > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 23 Nov 2010 10:44
Last Modified: 01 Mar 2012 00:31

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