Title :
A study of moving object detection based on combining background profile difference algorithm
Author :
Huang Min ; Shu Huazhong ; Liu Qian ; Chen Lei
Author_Institution :
Lab. of Image Sci. & Technol., Southeast Univ., Nanjing, China
Abstract :
Recent years, moving object detection of video frequency sequence image is more and more important unseeing in intelligent monitory, video compression, automatic navigation, man-machine interaction, virtual reality and so on. In this paper, we use a method of moving object detection based on combining background difference algorithm with edge-texture and object match to get the result In the method, at first updated image background, then detect image edges, extract the objects edges and matches the target, in the end locate and identify the target From experimental analysis, the method can reduce the impact of noise in some extent and make the final test results more accurate.
Keywords :
edge detection; image matching; image motion analysis; image sequences; image texture; object detection; automatic navigation; combining background profile difference algorithm; edge-texture; image edge detection; intelligent monitory; man-machine interaction; moving object detection; object matching; objects edge extraction; video compression; video frequency sequence image; virtual reality; Algorithm design and analysis; Computers; Image edge detection; background change; background difference; edge-detection; moving object detection; object match;
Conference_Titel :
Industrial and Information Systems (IIS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7860-6
DOI :
10.1109/INDUSIS.2010.5565819