DocumentCode
3150325
Title
Research and design of the intelligent surveillance system based on DirectShow and OpenCV
Author
Lin, Chaoyu ; Tang, Yuliang
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
fYear
2011
fDate
16-18 April 2011
Firstpage
4307
Lastpage
4310
Abstract
With the development of video surveillance gradually from the traditional security surveillance to intelligent surveillance, in order to find an intelligent surveillance model to facilitate the implementation and promotion, we present a method, performing the moving object detection by using OpenCV based on DirectShow framework, which will make intelligent surveillance come true consequently. In this paper, it will first introduce a real-time priority method and some improvement of moving object detection. Secondly, the filter components that have moving object detection function will be designed by the combination method of DirectShow and OpenCV encapsulation technologies. Finally, it will present the design method and its advantages of building intelligent surveillance system on the basis of the above description.
Keywords
computer vision; data encapsulation; filtering theory; object detection; video surveillance; DirectShow; OpenCV; encapsulation technology; filter component; intelligent surveillance system; moving object detection; real-time priority method; security surveillance; video surveillance; Artificial intelligence; Filtering algorithms; Media; Motion detection; Object detection; Streaming media; Surveillance; DirectShow; OpenCV; intelligent surveillance; moving object detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768334
Filename
5768334
Link To Document