Share Email Print

Proceedings Paper

Behavior analysis of video object in complicated background
Author(s): Wenting Zhao; Shigang Wang; Chao Liang; Wei Wu; Yang Lu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This paper aims to achieve robust behavior recognition of video object in complicated background. Features of the video object are described and modeled according to the depth information of three-dimensional video. Multi-dimensional eigen vector are constructed and used to process high-dimensional data. Stable object tracing in complex scenes can be achieved with multi-feature based behavior analysis, so as to obtain the motion trail. Subsequently, effective behavior recognition of video object is obtained according to the decision criteria. What’s more, the real-time of algorithms and accuracy of analysis are both improved greatly. The theory and method on the behavior analysis of video object in reality scenes put forward by this project have broad application prospect and important practical significance in the security, terrorism, military and many other fields.

Paper Details

Date Published: 31 October 2016
PDF: 8 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100200H (31 October 2016); doi: 10.1117/12.2246200
Show Author Affiliations
Wenting Zhao, Jilin Univ. (China)
Shigang Wang, Jilin Univ. (China)
Chao Liang, Jilin Univ. (China)
Wei Wu, Jilin Univ. (China)
Yang Lu, Jilin Univ. (China)

Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?