Affiliation:
1. Lanzhou Institute of Technology
Abstract
In general, moving target detection method has the background subtraction method,the adjacent frame difference method and the optical flow method. In order to quickly and accurately detect the moving targets of surveillance video , expand the location tracking study.This paper describes the detection method in real-time vehicle moving target,used AForge.NET library and based on the absolute of image gray difference is greater than the taken threshold value. Implementation results show that this method can effectively and quickly detect moving objects in video sequences.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. Jianlin Wang. A Moving Object Detection Algorithm based on Background Subtraction Model, 2011 3rd IEEE International Conference on Information Management and Engineering (ICIME 2011) . (2011)464-467.
2. Rafael C. Gonzalez, Richard E. Woods, in: Digital Image Processing Third Edition, edtied by Electronic Industry Press Publising, China, BJ (2010), in press.
3. Information on http: /www. aforgenet. com.
4. Jiamin Ning, Yang Yang, Fei Zhu, Background Modeling and Fuzzy Clustering for Motion Detection from Video, Journal of Multimedia. Vol. 85-89(2013).
5. Yongquan Xia, Shaohui Ning, Han Shen. Moving Targets Detection Algorithm Based on Background Subtraction and Frames Subtraction. 2010 The 2nd International Conference on Industrial Mechatronics and Automation (ICIMA 2010) , (2010)122-125.