DocumentCode
1791341
Title
An improved camshift algorithm based on RGB histogram equalization
Author
Dajie Cong ; Ping Shi ; Daxi Zhou
Author_Institution
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
fYear
2014
fDate
14-16 Oct. 2014
Firstpage
426
Lastpage
430
Abstract
Classical Camshift algorithm (CCA) has been widely used in the fields of visual tracking, image smoothing and segmentation currently. In view of the fact that CCA is easily affected by the object which is similar to the tracking target in hue, an improved Camshift algorithm is presented in this paper. In this algorithm, the histogram equalization is applied simultaneously to R, G, B channels in order to extend the hue differentiation between pixels. The experiment results show that the proposed algorithm performs well when tracking target has the similar hue with the other object and provides higher tracking accuracy.
Keywords
image colour analysis; image segmentation; iterative methods; object tracking; optimisation; probability; search problems; target tracking; CCA; RGB histogram equalization; classical camshift algorithm; color probability model; continuously adaptive mean-shift algorithm; image segmentation; image smoothing; improved camshift algorithm; iteration optimization; search window; target tracking; visual tracking; Algorithm design and analysis; Face; Histograms; Image color analysis; Interference; Signal processing algorithms; Target tracking; Camshift; equalization boundary; histogram equalization; kernel function;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2014 7th International Congress on
Conference_Location
Dalian
Type
conf
DOI
10.1109/CISP.2014.7003818
Filename
7003818
Link To Document