The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The Visual Object Tracking VOT2014 Challenge Results
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Cites
Histograms of Oriented Gradients for Human Detection
Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
The pascal visual object classes (VOC) challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · cited 1×
“The change from the original version include motion prior calculated from optical flow [54], normalization of the two proposed saliency weights in [63], inclusion of recent features in the feature database, and location based initialization of SURF [4] feature points.”
MethodThe Pascal Visual Object Classes Challenge: A Retrospective
Everingham, M., Eslami, S. M. A., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-014-0733-5 · Cited by 7,139
High-Speed Tracking with Kernelized Correlation Filters
Henriques, J. F., Caseiro, R., Martins, P., & Batista, J. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2345390 · Cited by 5,753
Self-citationComaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1195991 · Cited by 4,560
Online Object Tracking: A Benchmark
Wu, Y., Lim, J., & Yang, M.-H. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.312 · Cited by 4,138
Visual object tracking using adaptive correlation filters
Bolme, D., Beveridge, J. R., Draper, B. A., & Lui, Y. M. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539960 · Cited by 3,406
Incremental Learning for Robust Visual Tracking
Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061
Cited by
Fully-Convolutional Siamese Networks for Object Tracking
Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-48881-3_56 · Cited by 4,546
Self-citationLearning Multi-domain Convolutional Neural Networks for Visual Tracking
Nam, H., & Han, B. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.465 · Cited by 2,806
Self-citationA Benchmark and Simulator for UAV Tracking
Mueller, M., Smith, N., & Ghanem, B. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46448-0_27 · Cited by 1,944
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
Danelljan, M., Robinson, A., Shahbaz Khan, F., & Felsberg, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46454-1_29 · Cited by 1,853
Self-citationGOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild
Huang, L., Zhao, X., & Huang, K. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2957464 · Cited by 1,809
Metadata
- Authors
- Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Čehovin, L., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., Petrosino, A., Saffari, A., Li, B., Han, B., Heng, C., Garcia, C., Pangeršič, D., Häger, G., Khan, F. S., Oven, F., Possegger, H., Bischof, H., Nam, H., Zhu, J., Li, J., Choi, J. Y., Choi, J.-W., Henriques, J. F., van de Weijer, J., Batista, J., Lebeda, K., Öfjäll, K., Yi, K. M., Qin, L., Wen, L., Maresca, M. E., Danelljan, M., Felsberg, M., Cheng, M.-M., Torr, P., Huang, Q., Bowden, R., Hare, S., Lim, S. Y., Hong, S., Liao, S., Hadfield, S., Li, S. Z., Duffner, S., Golodetz, S., Mauthner, T., Vineet, V., Lin, W., Li, Y., Qi, Y., Lei, Z., & Niu, Z. H.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2015
- Pages
- 191-217
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2186330282
- Cited by
- 588
- References
- 14
- FWCI
- 46.83
- Type
- conference paper
- Language
- en
- Open access
- green
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- Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Čehovin, L., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., Petrosino, A., Saffari, A., Li, B., Han, B., Heng, C., Garcia, C., Pangeršič, D., Häger, G., Khan, F. S., . . . Niu, Z. H. (2015). The Visual Object Tracking VOT2014 Challenge Results. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-16181-5_14
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