Incremental Learning for Robust Visual Tracking


Visual tracking, in essence, deals with non-stationary image streams that change over time. While most existing algorithms are able to track objects well in controlled environments, they usually fail in the presence of significant variation of the object’s appearance or surrounding illumination. One reason for such failures is that many algorithms employ… (More)
DOI: 10.1007/s11263-007-0075-7


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@article{Ross2007IncrementalLF, title={Incremental Learning for Robust Visual Tracking}, author={David A. Ross and Jongwoo Lim and Ruei-Sung Lin and Ming-Hsuan Yang}, journal={International Journal of Computer Vision}, year={2007}, volume={77}, pages={125-141} }