DocumentCode :
2122205
Title :
Research of image recognition technology about moving object based on low-resolution camera
Author :
Liu, Yin ; Xu, Yong ; Liu, Yaojing
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear :
2012
fDate :
21-23 April 2012
Firstpage :
2005
Lastpage :
2009
Abstract :
In this paper, we focus on the issue of accuracy in the process of motion pattern detection, and propose a new multi-frame superposition motion detection algorithm on the base of traditional adjacent frame difference method. First, we deal the captured image with blurring, color separation process and so on, then implement the multi-frame superposition processing technology and calculate the average coordinates of movement points to analyze the image. And the experiments prove that this algorithm maintains the traditional algorithm´s efficiency while has a great improvement on accuracy and versatility at the same time.
Keywords :
cameras; image colour analysis; image motion analysis; image recognition; object detection; adjacent frame difference method; blurring; color separation process; image recognition technology; low-resolution camera; motion pattern detection process; moving object; multiframe superposition motion detection algorithm; Accuracy; Algorithm design and analysis; Color; Decision support systems; Human computer interaction; Image color analysis; Motion detection; human-computer interaction; motion pattern detection; multi-frame superposition motion detection algorithm; the adjacent frame difference method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
Type :
conf
DOI :
10.1109/CECNet.2012.6201819
Filename :
6201819
Link To Document :
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