TY - GEN
T1 - A real-time tracking algorithm based on gray distribution and distance kernel space
AU - Li, Weixing
AU - Xiao, Yating
AU - Pan, Feng
AU - Zhou, Kai
PY - 2013
Y1 - 2013
N2 - The application of the traditional Camshift algorithm, which exhibits a good tracking performance in case of the obvious color characters, meanwhile, is limited in the target tracking in the color space. A fast tracking algorithm based on gray value distribution and distance kernel space is proposed. A 1.5D gray histogram method is designed to describe the model of moving object, which improves the reduction of computation for the back projection and real-time tracking performance. Moreover, a distance kernel function, describing the object weights, is constructed so as to handle the background disturbance and occlusion problem. Experiment results demonstrate the efficiency of proposed algorithm, that it can achieve a fast object tracking and resist background disturbance in some level.
AB - The application of the traditional Camshift algorithm, which exhibits a good tracking performance in case of the obvious color characters, meanwhile, is limited in the target tracking in the color space. A fast tracking algorithm based on gray value distribution and distance kernel space is proposed. A 1.5D gray histogram method is designed to describe the model of moving object, which improves the reduction of computation for the back projection and real-time tracking performance. Moreover, a distance kernel function, describing the object weights, is constructed so as to handle the background disturbance and occlusion problem. Experiment results demonstrate the efficiency of proposed algorithm, that it can achieve a fast object tracking and resist background disturbance in some level.
KW - Camshift
KW - Kernel space
KW - Object
KW - Spatial histogram
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=84885211731&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38466-0_23
DO - 10.1007/978-3-642-38466-0_23
M3 - Conference contribution
AN - SCOPUS:84885211731
SN - 9783642384653
T3 - Lecture Notes in Electrical Engineering
SP - 197
EP - 204
BT - Proceedings of 2013 Chinese Intelligent Automation Conference - Intelligent Information Processing
T2 - 2013 Chinese Intelligent Automation Conference, CIAC 2013
Y2 - 23 August 2013 through 25 August 2013
ER -