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Robust tracking using local sparse appearance model and K-selection
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Baiyang Liu, Junzhou Huang, Lin Yang,C. Kulikowsk
Issue Date:June 2011
pp. 1313-1320
Online learned tracking is widely used for it's adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of errors during the self-updating, especially for occluded scenarios. The recent lite...
 
Robust Visual Tracking Using Local Sparse Appearance Model and K-Selection
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Baiyang Liu, Junzhou Huang,Casimir Kulikowski, Lin Yang
Issue Date:December 2013
pp. 2968-2981
Online learned tracking is widely used for its adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of errors during the self-updating, especially for occluded scenarios. The recent liter...
 
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