Crowd Event Perception Based on Spatiotemporal Weber Field
Over the past decade, a wide attention has been paid to the crowd control and management in intelligent video surveillance area. Among the tasks of automatic video-based crowd management, crowd motion modeling is recognized as one of the most critical components, since it lays a crucial foundation f...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/719810 |
Summary: | Over the past decade, a wide attention has been paid to the crowd control and management in
intelligent video surveillance area. Among the tasks of automatic video-based crowd management, crowd
motion modeling is recognized as one of the most critical components, since it lays a crucial foundation
for numerous subsequent analyses. However, it still encounters many unsolved challenges due to
occlusions among pedestrians, complicated motion patterns in crowded scenarios, and so forth. Addressing these
issues, we propose a novel spatiotemporal Weber field, which integrates both appearance characteristics
and stimulus of crowd motion patterns, to recognize the large-scale crowd event. On the one hand,
crowd motion is recognized as variations of spatiotemporal signal, and we then measure the variation
based on Weber law. The result is referred to as spatiotemporal Weber variation feature. On the other
hand, motivated by the achievements in crowd dynamics that crowd motion has a close relationship
with interaction force, we propose a spatiotemporal Weber force feature to exploit the stimulus of
crowd behaviors. Finally, we utilize the latent Dirichlet allocation model to establish the relationship
between crowd events and crowd motion patterns. Experiments on PETS2009 and UMN databases
demonstrate that our proposed method outperforms the previous methods for the large-scale crowd
behavior perception. |
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ISSN: | 2090-0147 2090-0155 |