Open Access

Object Tracking Based on Online Semi-Supervised SVM and Adaptive-Fused Feature


Cite

Ruxi Xiang
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Xifang Zhu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Feng Wu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Qinquan Xu
College of Optoelectronic Engineering, Changzhou Institute of Technology, 213002 China
Changzhou Institute of Modern Optical Technology, 213002 China
Changzhou Key Laboratory of Optoelectronic Materials and Devices, 213002 China
Jianwei Li
Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education, Chongqing University, Chongqing, 400044 China
eISSN:
1314-4081
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology