Abstract
We propose in this paper a method for tracking groups of people in a metro scene to recognise abnormal behaviours such as violence or van-dalism. After presenting the overall system, we describe the tracking algorithm for groups of people. Finally we present results illustrating the algorithm.
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References
Brémond, F. and Thonnat, M. (1997). Tracking multiple non-rigid objects in a cluttered scene. In proc. of the 10th Scandinavian Conference on Image Analysis (SCIA), Lappeenranta (Finland).
Cox, I. and Hingorani, S. (1996). An efficient implementation of reid’s Multiple Hypothesis Tracking algorithm and its evaluation for the purpose of visual tracking. In IEEE Transactions on pattern analysis and machine intelligence, volume 18.
Meyer, F. and Bouthemy, P. (1992). Region-based tracking in an image sequence. In Proc. of European Conference on Computer Vision (ECCV), pages 476–484.
Rota, N., Stahr, R., and Thonnat, M. (2000). Tracking for visual surveillance in VSIS. In First IEEE International Workshop on Performance Evaluation of Tracking and Surveillance PETS2000, Grenoble, France.
Thonnat, M. and Rota, N. (1999). Image understanding for visual surveillance application. In Third international workshop on cooperative distributed vision CDV-WS’99, pages 51–82, Kyoto, Japan.
Zhang, Z. (1994). Token tracking in a cluttered scene. In Int’l J. of Image and Vision Computing, volume 12.
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© 2002 Springer Science+Business Media New York
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Cupillard, F., Bremond, F., Thonnat, M. (2002). Tracking Groups of People for Video Surveillance. In: Remagnino, P., Jones, G.A., Paragios, N., Regazzoni, C.S. (eds) Video-Based Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0913-4_7
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DOI: https://doi.org/10.1007/978-1-4615-0913-4_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5301-0
Online ISBN: 978-1-4615-0913-4
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