Research and design of the intelligent surveillance system based on DirectShow and OpenCV

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...

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Bibliographic Details
Published in2011 International Conference on Consumer Electronics, Communications and Networks (CECNet) pp. 4307 - 4310
Main Authors Chaoyu Lin, Yuliang Tang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2011
Subjects
Artificial intelligence
DirectShow
Filtering algorithms
intelligent surveillance
Media
Motion detection
moving object detection
Object detection
OpenCV
Streaming media
Surveillance
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Summary: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.
ISBN:1612844588
9781612844589
DOI:10.1109/CECNET.2011.5768334