8 February 2017 Fighting detection using interaction energy force
Author Affiliations +
Proceedings Volume 10253, 2016 International Conference on Robotics and Machine Vision; 1025304 (2017); doi: 10.1117/12.2266446
Event: 2016 International Conference on Robotics and Machine Vision, 2016, Moscow, Russia
Fighting detection is an important issue in security aimed to prevent criminal or undesirable events in public places. Many researches on computer vision techniques have studied to detect the specific event in crowded scenes. In this paper we focus on fighting detection using social-based Interaction Energy Force (IEF). The method uses low level features without object extraction and tracking. The interaction force is modeled using the magnitude and direction of optical flows. A fighting factor is developed under this model to detect fighting events using thresholding method. An energy map of interaction force is also presented to identify the corresponding events. The evaluation is performed using NUSHGA and BEHAVE datasets. The results show the efficiency with high accuracy regardless of various conditions.
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Chonthisa Wateosot, Nikom Suvonvorn, "Fighting detection using interaction energy force", Proc. SPIE 10253, 2016 International Conference on Robotics and Machine Vision, 1025304 (8 February 2017); doi: 10.1117/12.2266446; http://dx.doi.org/10.1117/12.2266446

Optical flow

Motion models

Visual process modeling

3D modeling

Data modeling

Machine vision

Computer vision technology

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