Yun-feng ZHAO. Improved mean-shift algorithm combined with adaptive kernel function[J]. Chinese journal of liquid crystals and displays, 2016, 31(12): 1143-1148.
DOI:
Yun-feng ZHAO. Improved mean-shift algorithm combined with adaptive kernel function[J]. Chinese journal of liquid crystals and displays, 2016, 31(12): 1143-1148. DOI: 10.3788/YJYXS20163112.1143.
Improved mean-shift algorithm combined with adaptive kernel function
In order to solve the problem of Mean-shift algorithm caused by the fixed track window
an improved Mean-shift algorithm using adaptive kernel function is proposed. Visual saliency weighted by the gray similarity is detected to ascertain the object area
and the adaptive kernel function is designed to track object combined with Epanechnikov and the object area
reducing the effect of fixed track window and background pixels. After plenty of experiments
the results show that the proposed method can track object scale motions in real time and exactly
XUE C, ZHU M, CHEN A H.Robust object tracking based on improved Mean-shift algorithm[J].Optics and Precision Engineering, 2010, 18(1):234-239.(in Chinese)
LIU Q, TANG L B, ZHAO B J, et al. Improved mean shift target tracking algorithm[J].Systems Engineering and Electronics, 2013, 35(6):1918-1923.(in Chinese)
COMANICIU D, RAMESH V, MEER P.Kernel-based object tracking[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5):564-577.
GUO J M, HE X, YANG J, et al. Infrared target tracking based on template adaptive Mean Shift[J].Infrared and Laser Engineering, 2014, 43(4):1087-1093.(in Chinese)
COMANICIU D, MEER P.Mean shift:a robust approach toward feature space analysis[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5):603-619.
SONG X R, WU Z Y.Unsupervised detection of image object with any class[J].Optics and Precision Engineering, 2014, 22(1):160-168.(in Chinese)
胡德昆.基于生物视觉感知机制的图像理解技术研究[D].成都:电子科技大学, 2012.
HU D K.The research on technology of image understanding based on biological visual perception[D].Chengdu:University of Electronic Science and Technology of China, 2012.(in Chinese)
ACHANTA R, HEMAMI S, ESTRADA F, et al.Frequency-tuned salient region detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Miami, FL:IEEE, 2009:1597-1604.
Improved algorithm based on S-curve global dynamic dimming
Related Author
Zheng TONG
Lei WU
Chen ZHAO
Guo-qiang LV
Related Institution
School of Electronic Science&Applied Physics, Hefei University of Technology
School of Instrument Science & Opto-electronics Engineering, Hefei University of Technology
National Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology