Crowd motion partitioning in a scattered motion field

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
Si Wu, Hau San Wong

Abstract

In this paper, we propose a crowd motion partitioning approach based on local-translational motion approximation in a scattered motion field. To represent crowd motion in an accurate and parsimonious way, we compute optical flow at the salient locations instead of at all the pixel locations. We then transform the problem of crowd motion partitioning into a problem of scattered motion field segmentation. Based on our assumption that local crowd motion can be approximated by a translational motion field, we develop a local-translation domain segmentation (LTDS) model in which the evolution of domain boundaries is derived from the Gâteaux derivative of an objective functional and further extend LTDS to the case of scattered motion field. The experiment results on a set of synthetic vector fields and a set of videos depicting real-world crowd scenes indicate that the proposed approach is effective in identifying the homogeneous crowd motion components under different scenarios.

References

Jul 1, 1996·Neural Networks : the Official Journal of the International Neural Network Society·James R. Williamson
Mar 29, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Antoni B Chan, Nuno Vasconcelos
Jun 14, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Tao ZhaoBo Wu
Jun 19, 2008·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Shrinivas J Pundlik, Stanley T Birchfield
Sep 12, 2008·IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society·Liyuan LiQi Tian
Aug 17, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Weina GeR Barry Ruback

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Citations

Feb 19, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Weiyao Lin Tao Mei
Jul 29, 2015·IEEE Transactions on Cybernetics·Aravinda S RaoMarimuthu Palaniswami

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