TY - GEN
T1 - Object tracking using improved Camshift with SURF method
AU - Li, Jianhong
AU - Zhang, Ji
AU - Zhou, Zhenhuan
AU - Guo, Wei
AU - Wang, Bo
AU - Zhao, Qingjie
PY - 2011
Y1 - 2011
N2 - Camshift is an effective algorithm for real time dynamic target tracking applications, which only uses color features and is sensitive to illumination and some other environment factors. When similar color existing in the background, traditional Camshift algorithm may fail, that is the target getting lost. To solve the problem, an improved Camshift algorithm is firstly proposed in this paper to reduce the influence of illumination interference. Besides, a method judging whether the target is lost is also proposed. Once the target is judged lost, the Speeded Up Robust Features (SURF) is utilized to find it again and the improved Camshift keeps on tracking the target continuously. SURF is invariant to scale, rotation and translation of images. We program in C++ based on OpenCV. The results prove that the proposed method is more robust than the traditional Camshift and give better tracking performance than some other improved methods.
AB - Camshift is an effective algorithm for real time dynamic target tracking applications, which only uses color features and is sensitive to illumination and some other environment factors. When similar color existing in the background, traditional Camshift algorithm may fail, that is the target getting lost. To solve the problem, an improved Camshift algorithm is firstly proposed in this paper to reduce the influence of illumination interference. Besides, a method judging whether the target is lost is also proposed. Once the target is judged lost, the Speeded Up Robust Features (SURF) is utilized to find it again and the improved Camshift keeps on tracking the target continuously. SURF is invariant to scale, rotation and translation of images. We program in C++ based on OpenCV. The results prove that the proposed method is more robust than the traditional Camshift and give better tracking performance than some other improved methods.
KW - SURF
KW - improved Camshift
KW - target tracking
UR - http://www.scopus.com/inward/record.url?scp=84861129565&partnerID=8YFLogxK
U2 - 10.1109/OSSC.2011.6184709
DO - 10.1109/OSSC.2011.6184709
M3 - Conference contribution
AN - SCOPUS:84861129565
SN - 9781612844930
T3 - Proceedings - 2011 IEEE International Workshop on Open-Source Software for Scientific Computation, OSSC-2011
SP - 136
EP - 141
BT - Proceedings - 2011 IEEE International Workshop on Open-Source Software for Scientific Computation, OSSC-2011
T2 - 2011 IEEE International Workshop on Open-Source Software for Scientific Computation, OSSC-2011
Y2 - 12 October 2011 through 14 October 2011
ER -