Ensemble Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.2, pp.261-271, 2007. ,
DOI : 10.1109/TPAMI.2007.35
Probabilistic Color and Adaptive Multi-Feature Tracking with Dynamically Switched Priority Between Cues, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408955
A Superior Tracking Approach: Building a Strong Tracker through Fusion, Proc. of ECCV, pp.170-185, 2014. ,
DOI : 10.1007/978-3-319-10584-0_12
On-line selection of discriminative tracking features, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1631-1643, 2005. ,
DOI : 10.1109/ICCV.2003.1238365
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
Dynamic Partitioned Sampling For Tracking With Discriminative Features, Procedings of the British Machine Vision Conference 2009, 2009. ,
DOI : 10.5244/C.23.71
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, pp.119-139, 1997. ,
DOI : 10.1006/jcss.1997.1504
On-line Boosting and Vision, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), pp.260-267, 2006. ,
DOI : 10.1109/CVPR.2006.215
Realtime tracking via on-line boosting, Proc. of BMVC, pp.47-56, 2006. ,
A pixel-wise object tracking algorithm with target and background sample, Proc. of ICPR, 2006. ,
On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.3, pp.226-239, 1998. ,
DOI : 10.1109/34.667881
The Visual Object Tracking VOT2013 Challenge Results, 2013 IEEE International Conference on Computer Vision Workshops, 2013. ,
DOI : 10.1109/ICCVW.2013.20
Visual tracking decomposition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1269-1276, 2010. ,
DOI : 10.1109/CVPR.2010.5539821
Tracking by sampling trackers, Proc. of ICCV, 2011. ,
A General Framework for Combining Visual Trackers ??? The "Black Boxes" Approach, International Journal of Computer Vision, vol.67, issue.3, pp.343-363, 2006. ,
DOI : 10.1007/s11263-006-5568-2
Adaptive Multifeature Tracking in a Particle Filtering Framework, IEEE on Circuits and Systems for Video Technology, pp.1348-1359, 2007. ,
DOI : 10.1109/TCSVT.2007.903781
Dependent Multiple Cue Integration for Robust Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.4, pp.670-685, 2008. ,
DOI : 10.1109/TPAMI.2007.70727
Dynamic Integration of Generalized Cues for Person Tracking, Proc. of ECCV, pp.514-526, 2008. ,
DOI : 10.1007/978-3-540-88693-8_38
Data Fusion for Visual Tracking With Particles, Proc. of IEEE, pp.495-513, 2004. ,
DOI : 10.1109/JPROC.2003.823147
Visual tracking: an experimental survey, IEEE Trans. on PAMI, 2014. ,
Beyond semi-supervised tracking: Tracking should be as simple as detection, but not simpler than recognition, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.1409-1416, 2009. ,
DOI : 10.1109/ICCVW.2009.5457445
Learning to track with multiple observers, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/CVPR.2009.5206634
Democratic Integration: Self-Organized Integration of Adaptive Cues, Neural Computation, vol.28, issue.9, pp.2049-2074, 2001. ,
DOI : 10.1117/1.601624
Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001. ,
DOI : 10.1109/CVPR.2001.990517
Object contour tracking using level sets, Proc. of ACCV, 2004. ,
Likelihood Map Fusion for Visual Object Tracking, 2008 IEEE Workshop on Applications of Computer Vision, pp.1-7, 2008. ,
DOI : 10.1109/WACV.2008.4544036