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