DocumentCode
3282773
Title
New moving human detecting and tracking algorithm
Author
Li, Ling ; Hu, Wentao
Author_Institution
Coll. of Math. & Phys., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume
1
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
345
Lastpage
348
Abstract
For the inevitable factors in the practical scene such as illumination chance and background interference, a new method is obtained to achieve the detection of human movement in this paper. This algorithm can remove most of the shadow and apply Gaussian filter to reduce interference. Then the moving targets under different conditions can be accurately tracked by combination of tracking algorithm and the detecting human body. The related experiments show that this method can eliminate the shadows, and it has the advantage of high anti-noise performance.
Keywords
Gaussian processes; filtering theory; image motion analysis; interference; optical tracking; Gaussian filter; anti-noise performance; background interference; human detecting algorithm; human movement detection; human tracking algorithm; illumination chance; moving targets; Humans; Image color analysis; Image edge detection; Noise; Pixel; Target tracking; adaptive background update; human movement tracking; shadow elimination;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5648126
Filename
5648126
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