Share Email Print
cover

Proceedings Paper

Violence detection based on three-stream convolutional networks
Author(s): Yunfei Cheng ; Wu Wang; Yuexia Liu; Keshuang Man
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Violence detection in videos is a challenging task which has gotten much attention in the research community. In this paper, we propose a three-stream network framework for violence detection in binocular stereo vision. To capture the complementary information from the video we adopt the appearance, motion and depth information. The spatial part, we use the RGB as the individual frame appearance. Then, we use the sparse stereo matching method to extract the feature points and obtain the vision disparity of the point. The 3D coordinates of the points are calculated through the standard 3D measurement theory. The 3D motion vector conveys the movement of the camera and the objects as the motion information. Besides, the depth information flow is the third input of the network which can improved recognition rate.

Paper Details

Date Published: 31 August 2018
PDF: 6 pages
Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 108350A (31 August 2018); doi: 10.1117/12.2505560
Show Author Affiliations
Yunfei Cheng , The Third Research Institute Of Ministry Of Public Security (China)
Wu Wang, The Third Research Institute Of Ministry Of Public Security (China)
Yuexia Liu, The Third Research Institute Of Ministry Of Public Security (China)
Keshuang Man, Zhejiang Dahua Technology Co., Ltd. (China)


Published in SPIE Proceedings Vol. 10835:
Global Intelligence Industry Conference (GIIC 2018)
Yueguang Lv, Editor(s)

© SPIE. Terms of Use
Back to Top