Abstract
In order to improve the phenomena such as false edge and void in static background detection of frame difference method and the problems of slow background update and poor adaptability in background difference method, an improved research method based on frame difference background modeling detection method is proposed in this paper. The method first obtains two frame difference images by four frame difference method, carries on the closed operation, and respectively adds with the original image, after adding the two images to carry on the pixel value comparison and the choice, can get the background image. The experimental results show that the algorithm can effectively avoid the appearance of ghost, void and shadow, and adapt to the environment better. Compared with the traditional methods, the algorithm has better real-time performance and higher accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
