People-tracking-by-detection and people-detection-by-tracking, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587583
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.336.2237
Monocular 3D pose estimation and tracking by detection, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540156
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.171.187
Support vector tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2004. ,
Visual tracking with online multiple instance learning, IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
DOI : 10.1109/cvprw.2009.5206737
Optimization with sparsityinducing penalties, Machine Learning, 2012. ,
DOI : 10.1561/2200000015
URL : https://hal.archives-ouvertes.fr/hal-00613125
Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.159
Tracking Multiple Persons Based on a Variational Bayesian Model, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-540-69568-4_1
URL : https://hal.archives-ouvertes.fr/hal-01359559
Real time robust l1 tracker using accelerated proximal gradient approach, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. ,
Tracking in a cluttered environment with probabilistic data association, Automatica, vol.11, issue.5, 1975. ,
DOI : 10.1016/0005-1098(75)90021-7
Surf : Speeded up robust features, European Conference on Computer Vision (ECCV), 2006. ,
DOI : 10.1007/11744023_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046
Gradient-based algorithms with applications to signal-recovery problems, Convex Optimization in Signal Processing and Communications, 2010. ,
DOI : 10.1017/CBO9780511804458.003
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.231.2999
Guiding Visual Surveillance by Tracking Human Attention, Procedings of the British Machine Vision Conference 2009, 2009. ,
DOI : 10.5244/C.23.14
Stable multi-target tracking in real-time surveillance video, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995667
URL : https://digital.library.adelaide.edu.au/dspace/retrieve/148966/RA_hdl_84204.pdf
Evaluating Multiple Object Tracking Performance : The CLEAR MOT Metrics. EURASIP J. Image and Video Processing ALExTRAC : Affinity Learning by Exploring Temporal Reinforcement within Association Chains, ICRA, 2008. ,
DOI : 10.1155/2008/246309
URL : http://doi.org/10.1155/2008/246309
Ask the locals: Multi-way local pooling for image recognition, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126555
URL : https://hal.archives-ouvertes.fr/hal-00646816
Real time face and object tracking as a component of a perceptual user interface, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201), 1998. ,
DOI : 10.1109/ACV.1998.732882
Robust tracking-by-detection using a detector confidence particle filter, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459278
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.229.2429
Multiobject tracking as maximum weight independent set, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995395
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.228.946
Fast Convolutional Sparse Coding, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.57
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.571.1424
Markov chains : Gibbs fields, monte carlo simulation and queues, Texts in applied mathematics, 1999. ,
DOI : 10.1007/978-1-4757-3124-8
Within group variable selection through the exclusive lasso, 2015. ,
A fast proximal method for convolutional sparse coding, The 2013 International Joint Conference on Neural Networks (IJCNN), 2013. ,
DOI : 10.1109/IJCNN.2013.6706854
Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.347
URL : http://arxiv.org/abs/1504.02340
Support-vector networks, Machine Learning, vol.1, issue.3, 1995. ,
DOI : 10.1007/BF00994018
A review of statistical data association techniques for motion correspondence, International Journal of Computer Vision, vol.7, issue.3, 1993. ,
DOI : 10.1007/BF01440847
Summed-area tables for texture mapping, ACM SIGGRAPH computer graphics, 1984. ,
DOI : 10.1145/964965.808600
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
Human Detection Using Oriented Histograms of Flow and Appearance, European Conference on Computer Vision (ECCV), 2006. ,
DOI : 10.1023/A:1008162616689
URL : https://hal.archives-ouvertes.fr/inria-00548587
Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking, European Conference on Computer Vision (ECCV), 2016. ,
DOI : 10.1007/978-3-319-16181-5_18
URL : http://arxiv.org/abs/1608.03773
GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299036
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.696.229
The Way They Move: Tracking Multiple Targets with Similar Appearance, 2013 IEEE International Conference on Computer Vision, 2013. ,
DOI : 10.1109/ICCV.2013.286
Fast Feature Pyramids for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.8, p.2014 ,
DOI : 10.1109/TPAMI.2014.2300479
Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Cartographica : The International Journal for Geographic Information and Geovisualization, 1973. ,
Depth and Appearance for Mobile Scene Analysis, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4409092
Online multiperson tracking based on global sparse collaborative representations, IEEE International Conference on Image Processing (ICIP), 2015. ,
DOI : 10.1109/icip.2015.7351235
Improving multiframe data association with sparse representations for robust near-online multi-object tracking, European Conference on Computer Vision (ECCV), 2016. ,
DOI : 10.1007/978-3-319-46484-8_47
Collaboration and spatialization for an efficient multi-person tracking via sparse representations, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015. ,
DOI : 10.1109/AVSS.2015.7301757
Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, 2010. ,
DOI : 10.1109/TPAMI.2009.167
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2745
PETS2009: Dataset and challenge, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009. ,
DOI : 10.1109/PETS-WINTER.2009.5399556
Sonar tracking of multiple targets using joint probabilistic data association, IEEE Journal of Oceanic Engineering, vol.8, issue.3, 1983. ,
DOI : 10.1109/JOE.1983.1145560
Kernel Sparse Representation for Image Classification and Face Recognition, European Conference on Computer Vision (ECCV), 2010. ,
DOI : 10.1007/978-3-642-15561-1_1
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.177.9617
Multi-target Data Association by Tracklets with Unsupervised Parameter Estimation, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.93
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.435
3D Traffic Scene Understanding From Movable Platforms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.5, p.2014 ,
DOI : 10.1109/TPAMI.2013.185
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.431.5311
Are we ready for autonomous driving? The KITTI vision benchmark suite, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248074
Struck : Structured output tracking with kernels, International Conference on Computer Vision (ICCV) Alvey Vision Conference, 1988. ,
DOI : 10.1109/tpami.2015.2509974
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.5858
Fast and flexible convolutional sparse coding, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299149
High-Speed Tracking with Kernelized Correlation Filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, issue.3, p.2015 ,
DOI : 10.1109/TPAMI.2014.2345390
URL : http://arxiv.org/abs/1404.7584
Tracking via robust multitask multi-view joint sparse representation, International Conference on Computer Vision (ICCV), 2013. ,
DOI : 10.1109/iccv.2013.86
Online multi-object tracking via structural constraint event aggregation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
Sequential Model-Based Optimization for General Algorithm Configuration, 2011. ,
DOI : 10.1007/978-0-387-84858-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.1507
Condensation?conditional density propagation for visual tracking, International Journal of Computer Vision, 1998. ,
A smoothing filter for condensation, European Conference on Computer Vision (ECCV), 1998. ,
DOI : 10.1007/BFb0055703
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.1691
Visual tracking via adaptive structural local sparse appearance model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. ,
Online multi-person tracking with two-stage data association and online appearance model learning, IET Computer Vision, 2016. ,
DOI : 10.1049/iet-cvi.2016.0068
New extension of the Kalman filter to nonlinear systems, Signal Processing, Sensor Fusion, and Target Recognition VI, 1997. ,
DOI : 10.1117/12.280797
Tracking-Learning-Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.7, p.2012 ,
DOI : 10.1109/TPAMI.2011.239
A New Approach to Linear Filtering and Prediction Problems, Journal of Basic Engineering, vol.82, issue.1, 1960. ,
DOI : 10.1115/1.3662552
Mcmc-based particle filtering for tracking a variable number of interacting targets, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005. ,
Online multi-person tracking using Integral Channel Features, 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2016. ,
DOI : 10.1109/AVSS.2016.7738059
Multiple Hypothesis Tracking Revisited, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.533
Exclusive feature learning on arbitrary structures via l1,2-norm, International Conference on Neural Information Processing Systems (NIPS), 2014. ,
A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality, European Conference on Computer Vision (ECCV), 2012. ,
DOI : 10.1007/978-3-642-33718-5_14
The Visual Object Tracking VOT2016 Challenge Results, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-319-10578-9_13
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.570.6105
Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-319-48881-3_4
MOTChallenge 2015 : towards a benchmark for multi-target tracking, p.2015 ,
Learning by Tracking: Siamese CNN for Robust Target Association, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016. ,
DOI : 10.1109/CVPRW.2016.59
URL : http://arxiv.org/abs/1604.07866
Learning an Image-Based Motion Context for Multiple People Tracking, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014. ,
DOI : 10.1109/CVPR.2014.453
Multi-class Multi-object Tracking Using Changing Point Detection, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-319-48881-3_6
URL : http://arxiv.org/abs/1608.08434
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, 2008. ,
DOI : 10.1109/TPAMI.2008.170
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.145.9138
Fast normalized cross-correlation, Vision interface, 1995. ,
Real-time visual tracking using compressive sensing, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995483
URL : http://hdl.handle.net/1885/63712
Evaluating the performance of systems for tracking football players and ball, Proceedings. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005., 2005. ,
DOI : 10.1109/AVSS.2005.1577342
Learning to associate : Hybridboosted multitarget tracker for crowded scene, IEEE Conference on Computer Vision and Pattern Recognition, 2009. ,
Robust tracking using local sparse appearance model and k-selection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. ,
DOI : 10.1109/cvpr.2011.5995730
Automatic player detection, labeling and tracking in broadcast soccer video, Pattern Recognition, 2009. ,
DOI : 10.1016/j.patrec.2008.02.011
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.7711
Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.790410
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.4065
Multiple object tracking : A literature review Efficient multitarget visual tracking using random finite sets, Transactions on Circuits and Systems for Video Technology, 2008. ,
Multitarget bayes filtering via first-order multitarget moments . Transactions on Aerospace and Electronic Systems, 2003. ,
DOI : 10.1109/taes.2003.1261119
Sparse modeling for image and vision processing . Found. Trends, Comput. Graph. Vis, 2014. ,
DOI : 10.1561/0600000058
URL : https://hal.archives-ouvertes.fr/hal-01081139
Supervised feature selection in graphs with path coding penalties and network flows, Journal of Machine Learning Research, p.2013 ,
URL : https://hal.archives-ouvertes.fr/hal-00806372
Enhancing Linear Programming with Motion Modeling for Multi-target Tracking, 2015 IEEE Winter Conference on Applications of Computer Vision, 2015. ,
DOI : 10.1109/WACV.2015.17
Robust visual tracking and vehicle classification via sparse representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011. ,
MOT16 : a benchmark for multi-object tracking, p.2016 ,
Online multitarget tracking using recurrent neural networks, 2017. ,
Continuous Energy Minimization for Multitarget Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.1, p.2014 ,
DOI : 10.1109/TPAMI.2013.103
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.639.7116
Multi-target tracking by discretecontinuous energy minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, p.2016 ,
DOI : 10.1109/tpami.2015.2505309
Joint tracking and segmentation of multiple targets, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7299178
Challenges of Ground Truth Evaluation of Multi-target Tracking, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013. ,
DOI : 10.1109/CVPRW.2013.111
Application of 0-1 integer programming to multitarget tracking problems, IEEE Transactions on Automatic Control, vol.22, issue.3, 1977. ,
DOI : 10.1109/TAC.1977.1101500
Algorithms for the Assignment and Transportation Problems, Journal of the Society for Industrial and Applied Mathematics, vol.5, issue.1, 1957. ,
DOI : 10.1137/0105003
Online multi-person tracking via robust collaborative model, 2014 IEEE International Conference on Image Processing (ICIP), 2014. ,
DOI : 10.1109/ICIP.2014.7025086
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.676.7154
Modeling and propagating cnns in a tree structure for visual tracking, 2016. ,
Introductory lectures on convex optimization : a basic course Applied optimization, 2004. ,
DOI : 10.1007/978-1-4419-8853-9
ETISEO, performance evaluation for video surveillance systems, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007. ,
DOI : 10.1109/AVSS.2007.4425357
URL : https://hal.archives-ouvertes.fr/inria-00502945
Sequential monte carlo implementation of the phd filter for multi-target tracking, International Conference on Information Fusion, 2003. ,
Markov chain monte carlo data association for multi-target tracking, Transactions on Automatic Control, 2009. ,
A comparative study of texture measures with classification based on featured distributions, Pattern Recognition, vol.29, issue.1, 1996. ,
DOI : 10.1016/0031-3203(95)00067-4
Proximal Algorithms, Foundations and Trends in Optimization, 2013. ,
DOI : 10.1561/2400000003
Globally-optimal greedy algorithms for tracking a variable number of objects, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995604
An efficient projection for l1,infinity regularization, International Conference on Machine Learning, 2009. ,
DOI : 10.1145/1553374.1553484
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.6140
An iterative procedure for the polygonal approximation of plane curves, Computer Graphics and Image Processing, vol.1, issue.3, 1972. ,
DOI : 10.1016/S0146-664X(72)80017-0
Maximum likelihood estimates of linear dynamic systems, AIAA Journal, vol.3, issue.8, 1965. ,
DOI : 10.2514/3.3166
An algorithm for tracking multiple targets, Transactions on Automatic Control, 1979. ,
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks, International Conference on Neural Information Processing Systems (NIPS), 2015. ,
DOI : 10.1109/TPAMI.2016.2577031
URL : http://arxiv.org/abs/1506.01497
Joint Probabilistic Data Association Revisited, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.349
Are sparse representations really relevant for image classification?, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995313
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.5268
Multiple Object Tracking Using Local Motion Patterns, Proceedings of the British Machine Vision Conference 2014, 2014. ,
DOI : 10.5244/C.28.92
Online Multi-target Tracking with Strong and Weak Detections, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-319-48881-3_7
Part-based multipleperson tracking with partial occlusion handling, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. ,
Visual tracking : An experimental survey Evaluating multi-object tracking, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2005. ,
Towards the evaluation of reproducible robustness in tracking-by-detection, 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015. ,
DOI : 10.1109/AVSS.2015.7301755
Online multiple object tracking with the hierarchically adopted GM-PHD filter using motion and appearance, 2016 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016. ,
DOI : 10.1109/ICCE-Asia.2016.7804800
Multi-person Tracking by Multicut and Deep Matching, European Conference on Computer Vision (ECCV) Workshops, 2016. ,
DOI : 10.1007/978-3-319-48881-3_8
URL : http://arxiv.org/abs/1608.05404
Detection and tracking of occluded people, International Journal of Computer Vision, p.2014 ,
Robust real-time object detection, International Journal of Computer Vision (IJCV), 2001. ,
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.3, p.2016 ,
DOI : 10.1109/TPAMI.2016.2551245
URL : http://arxiv.org/abs/1511.06654
Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016. ,
DOI : 10.1109/CVPRW.2016.55
Learning Optimal Parameters For Multi-target Tracking, Procedings of the British Machine Vision Conference 2015, 2015. ,
DOI : 10.5244/C.29.4
Tracking Interacting Objects Optimally Using Integer Programming, European Conference on Computer Vision (ECCV), 2014. ,
DOI : 10.1007/978-3-319-10590-1_2
URL : http://infoscience.epfl.ch/record/200100
Robust face recognition via sparse representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009. ,
DOI : 10.1109/tpami.2008.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.4658
Tracking of multiple, partially occluded humans based on static body part detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. ,
Online Motion Agreement Tracking, Procedings of the British Machine Vision Conference 2013, 2013. ,
DOI : 10.5244/C.27.63
Learning to Track: Online Multi-object Tracking by Decision Making, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.534
Temporal dynamic appearance modeling for online multiperson tracking, Computer Vision and Image Understanding, p.2016 ,
DOI : 10.1016/j.cviu.2016.05.003
URL : http://arxiv.org/abs/1510.02906
Object tracking, ACM Computing Surveys, vol.38, issue.4, 2006. ,
DOI : 10.1145/1177352.1177355
Bayesian Multi-object Tracking Using Motion Context from Multiple Objects, 2015 IEEE Winter Conference on Applications of Computer Vision, 2015. ,
DOI : 10.1109/WACV.2015.12
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.7458
POI: Multiple Object Tracking with High Performance Detection and Appearance Feature, European Conference on Computer Vision (ECCV), 2016. ,
DOI : 10.1007/978-3-319-48881-3_3
URL : http://arxiv.org/abs/1610.06136
Multiple-target tracking by spatiotemporal monte carlo markov chain data association, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009. ,
GMCP-tracker : Global multi-object tracking using generalized minimum clique graphs, European Conference on Computer Vision (ECCV), 2012. ,
Online Multi-person Tracking by Tracker Hierarchy, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance, 2012. ,
DOI : 10.1109/AVSS.2012.51
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.7340
Sparse coding based visual tracking: Review and experimental comparison, Pattern Recognition, vol.46, issue.7, 2013. ,
DOI : 10.1016/j.patcog.2012.10.006
In Defense of Sparse Tracking: Circulant Sparse Tracker, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ,
DOI : 10.1109/CVPR.2016.421
Robust Visual Tracking via Structured Multi-Task Sparse Learning, International Journal of Computer Vision, vol.101, issue.2, p.2013 ,
DOI : 10.1007/s11263-012-0582-z
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.389.4519
Structural Sparse Tracking, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. ,
DOI : 10.1109/CVPR.2015.7298610
URL : http://repository.kaust.edu.sa/kaust/bitstream/10754/556107/1/Structural_Sparse_Tracking_CVPR2015.pdf
Probabilistic multi-task feature selection, International Conference on Neural Information Processing Systems (NIPS), 2010. ,
Robust object tracking via sparsity-based collaborative model, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6247882
Exclusive lasso for multi-task feature selection, Journal of Machine Learning Research, 2010. ,