Sparse coding based visual tracking: Review and experimental comparison

By Shengping Zhang, Hongxun Yao, Xin Sun, Xiusheng Lu. 2013

295 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ming-Hsuan Yang
2. Jian Yang
3. Yong Xu
4. Xuelong Li
5. Zheng Zhang
6. Jongwoo Lim
7. Qingming Huang
8. Hongxun Yao

In Computer Vision and Pattern Recognition

1. Ming-Hsuan Yang
2. Luc Van Gool
3. Dacheng Tao
4. Lei Zhang
5. Fahad Shahbaz Khan
6. Ling Shao
7. Xiaogang Wang
8. Martin Danelljan

Citations in the corpus

• Hedged Deep Tracking (2016, background): “Despite the significant effort that has been made to develop algorithms [20, 22, 14, 36, 9, 38, 32, 37, 39, 35] and benchmark evaluations [34, 27] for visual tracking, it is still a challenging task owing to complicated interfering factors like heavy illumination changes, shape deformation, partial ”
• Object Tracking Benchmark (2015, background): “ther, a number of tracking approaches based on sparse representation were compared in [93].”
• A Survey of Sparse Representation: Algorithms and Applications (2015, background): “More detailed visual tracking algorithms ca n be found in the recent reviews [214, 215].”