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Crowd modeling framework using fast head detection and shape-aware matching

[+] Author Affiliations
Tao Zhou, Jie Yang

Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, Shanghai 200240, China

Artur Loza, Harish Bhaskar

Khalifa University of Science Technology and Research, Department of Electrical and Computer Engineering, P.O. Box 127788, Abu Dhabi, United Arab Emirates

University of Bristol, School of Engineering, Merchant Venturers’ Building, Woodland Road, Clifton BS8 1UB, United Kingdom

Mohammed Al-Mualla

Khalifa University of Science Technology and Research, Department of Electrical and Computer Engineering, P.O. Box 127788, Abu Dhabi, United Arab Emirates

J. Electron. Imaging. 24(2), 023019 (Mar 25, 2015). doi:10.1117/1.JEI.24.2.023019
History: Received October 12, 2014; Accepted March 4, 2015
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Abstract.  A framework for crowd modeling using a combination of multiple kernel learning (MKL)-based fast head detection and shape-aware matching is proposed. First, the MKL technique is used to train a classifier for head detection using a combination of the histogram of oriented gradient and local binary patterns feature sets. Further, the head detection process is accelerated by implementing the classification procedure only at those spatial locations in the image where the gradient points overlap with moving objects. Such moving objects are determined using an adaptive background subtraction technique. Finally, the crowd is modeled as a deformable shape through connected boundary points (head detection) and matched with the subsequent detection from the next frame in a shape-aware manner. Experimental results obtained from crowded videos show that the proposed framework, while being characterized by a low computation load, performs better than other state-of-art techniques and results in reliable crowd modeling.

© 2015 SPIE and IS&T

Topics

Modeling ; Video

Citation

Tao Zhou ; Jie Yang ; Artur Loza ; Harish Bhaskar and Mohammed Al-Mualla
"Crowd modeling framework using fast head detection and shape-aware matching", J. Electron. Imaging. 24(2), 023019 (Mar 25, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023019


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