12 December 2018 A new method for violence detection based on the three dimensional scene flow
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Proceedings Volume 10845, Three-Dimensional Image Acquisition and Display Technology and Applications; 108450N (2018) https://doi.org/10.1117/12.2505418
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China
Abstract
Violence detection from surveillance video is a challenging and attractive task. This paper introduce a new violence detection using binocular stereo vision. We use the sparse stereo matching method to extract the feature points of both rectified images and obtain the vision disparity of the point. The 3D coordinates of the points are calculated through the standard 3D measurement theory. To describe the spatio-temporal property, we extract features aligned with the trajectories to characterize depth information (Three-dimensional motion vector), appearance (histograms of oriented gradients) and motion (histograms of optical flow). In order to obtain the discriminative feature, this paper adopts sparse coding scheme and support vector machine (SVM) to classify the feature vector as normal or abnormal.
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Wu Wang, Yunfei Cheng, and Yuexia Liu "A new method for violence detection based on the three dimensional scene flow", Proc. SPIE 10845, Three-Dimensional Image Acquisition and Display Technology and Applications, 108450N (12 December 2018); doi: 10.1117/12.2505418; https://doi.org/10.1117/12.2505418
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