Abstract
This paper presents a more enhanced and efficient method for crowd segmentation from background subtracted images using active basis model associated detection cascade. Firstly, the problem is significant because the case of inter-human occlusion usually appears in the image which may disturb the result of tracking and recognition, consequently debases the effect of the whole surveillance system. Secondly, the problem is challenging because the state space formed by the number, positions, and articulations of people is large, and the noisy may confluence the achievement of the shape of the crowd of background subtracted. We combine some effective methods into one system for improving the hit rate in crowded scene, such as the head position estimation, active basis model, etc. Especially, using the active basis model to verify the result from detection cascade, the system gives the excellent performance for detecting human in crowded scene.
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Lai, B., Zhang, D.Y., Yuan, Z.Y., Zhao, J.H. (2008). Crowd Segmentation from a Static Camera. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_140
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DOI: https://doi.org/10.1007/978-3-540-87442-3_140
Publisher Name: Springer, Berlin, Heidelberg
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