An Improved Camshift Algorithm Basedon Occlusionand Scale Variation
YUE Yingying
ZHONG Tao
Abstract：At present ,target tracking under complex scenes is still a difficult problem in the field of computer vision . For occlusion and the scale change of targets ,which are two kinds of complex scenes ,an improved Camshift algorithm is proposed in this paper .Firstly ,the improved algorithm adopts block tracking to handle occlusion problem .Secondly ,consid‐ering that targets template should update when scale changes but not when occlusion ,adaptive template‐updating mechanism is proposed .Finally ,the geometric histogram ,which is robust to scale variation ,is introduced to describe the moving tar‐gets .The experimental results show that ,the improved algorithm can well adapt to scale change of targets ,and also has good anti‐occlusion ability ,can achieve a good tracking effect .
Keywords：Camshift occlusiontarget scale variationgeometry histogramadaptive template-updating mechanism
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1018-1022 )