DocumentCode
2114600
Title
A MeanShift-Particle Fusion tracking algorithm based on SIFT
Author
Kai Zhou ; Rui-Xia Fan ; Wei-Xing Li
Author_Institution
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
29-31 July 2010
Firstpage
2717
Lastpage
2720
Abstract
In order to address vulnerability of color histogram to similar background and similar objects, a MeanShift-Particle amalgamative algorithm based on SIFT is set up, which takes advantage of Spatio Histogram and SIFT descriptors. According to the definition of SIFT match rate parameters, traditional particle filter algorithm, SIFT-particle filter algorithm and MeanShift algorithm are amalgamated effectively. The results of experiments showed the proposed amalgamative algorithm performs well when the object is cluttered.
Keywords
image colour analysis; image fusion; image matching; object detection; particle filtering (numerical methods); statistical analysis; transforms; SIFT match rate parameters; SIFT-particle filter algorithm; amalgamative algorithm; color histogram; mean shift-particle fusion tracking algorithm; scale invariant feature transform; spatiohistogram; Computer vision; Electronic mail; Filtering theory; Head; Histograms; Kalman filters; Particle filters; Meanshift; Particle Filter; SIFT; Spatio Histogram;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573706
Link To Document