Abstract Compared with the color histogram, where the position information of each pixel is ignored, a simplified color correlogram (SCC) representation encodes the spatial information explicitly and enables an estimation algorithm to recover the object orientation. This paper analyzes the capability of the SCC (in a kernel based framework) in detecting and estimating object motion and presents a principled way to obtain motion observable SCCs as object representations to achieve more reliable tracking. Extensive experimental results demonstrate the reliability of the tracking procedure using the proposed algorithm.
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking
Computer Vision – ACCV 2007 ; 9 ; 345-354
Lecture Notes in Computer Science ; 4843 , 9
2007-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Condition Number , Current Frame , Image Patch , Color Histogram , Pair Distance Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence (incl. Robotics) , Biometrics , Algorithm Analysis and Problem Complexity
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