Information Technology and Computer Application Engineering – Liu, Sung & Yao (Eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00079-7
An improved Camshift algorithm based on occlusion and scale variation
Ying Ying Yue
School of Information Science and Engineering, Yuxi Normal University, Yuxi, China
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, considering that targets template should update when scale changes but not
when occlusion, ...