Efficient visual object tracking with online nearest neighbor classifier
Publication
, Journal Article
Gu, S; Zheng, Y; Tomasi, C
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
March 16, 2011
A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection and pruning method to achieve stability and plasticity in tracking targets of changing appearance. Experiments show that near-frame-rate performance is achieved (sans feature detection), and that the state of the art is improved in terms of handling occlusions, clutter, changes of scale, and of appearance. A theoretical analysis shows why nearest neighbor works better than more sophisticated classifiers in the context of tracking. © 2011 Springer-Verlag Berlin Heidelberg.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
March 16, 2011
Volume
6492 LNCS
Issue
PART 1
Start / End Page
271 / 282
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Gu, S., Zheng, Y., & Tomasi, C. (2011). Efficient visual object tracking with online nearest neighbor classifier. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6492 LNCS(PART 1), 271–282. https://doi.org/10.1007/978-3-642-19315-6_21
Gu, S., Y. Zheng, and C. Tomasi. “Efficient visual object tracking with online nearest neighbor classifier.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6492 LNCS, no. PART 1 (March 16, 2011): 271–82. https://doi.org/10.1007/978-3-642-19315-6_21.
Gu S, Zheng Y, Tomasi C. Efficient visual object tracking with online nearest neighbor classifier. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Mar 16;6492 LNCS(PART 1):271–82.
Gu, S., et al. “Efficient visual object tracking with online nearest neighbor classifier.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6492 LNCS, no. PART 1, Mar. 2011, pp. 271–82. Scopus, doi:10.1007/978-3-642-19315-6_21.
Gu S, Zheng Y, Tomasi C. Efficient visual object tracking with online nearest neighbor classifier. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2011 Mar 16;6492 LNCS(PART 1):271–282.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
March 16, 2011
Volume
6492 LNCS
Issue
PART 1
Start / End Page
271 / 282
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences