M. Breitenstein and F. Reichlin, 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

A. Andriyenko, K. Schindler, and S. Roth, Discrete-continuous optimization for multi-target tracking, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247893

A. Milan, K. Schindler, and S. Roth, Detection- and Trajectory-Level Exclusion in Multiple Object Tracking, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.472

A. Zamir, A. Dehghan, and M. Shah, GMCP-Tracker: Global Multi-Object Tracking Using Generalized Minimum Clique Graphs, In: ECCV, 2012.

W. Brendel, M. Amer, and S. Todorovic, 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

L. Zhang, Y. Li, and R. Nevatia, Global data association for multi-object tracking using network flows, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587584

H. B. Shitrit, Tracking multiple people under global appearance constraints, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126235

J. Berclaz, F. Fleuret, E. T. Fua, and P. , Multiple Object Tracking Using K-Shortest Paths Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.9, 2011.
DOI : 10.1109/TPAMI.2011.21
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.1390

H. Pirsiavash, D. Ramanan, and C. C. Fowlkes, Globally-optimal greedy algorithms for tracking a variable number of objects, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995604

C. Russell, L. Agapito, and F. Setti, Efficient Second Order Multi-Target Tracking with Exclusion Constraints, Procedings of the British Machine Vision Conference 2011, 2011.
DOI : 10.5244/C.25.13

B. Benfold and I. Reid, Stable multi-target tracking in real-time surveillance video, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995667

R. T. Collins, Multitarget data association with higher-order motion models, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012.
DOI : 10.1109/CVPR.2012.6247870
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.659.2921

A. Butt and R. Collins, Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.241
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.664.9550

A. Ellis, A. Shahrokni, and J. Ferryman, PETS2009 and Winter-PETS 2009 results: A combined evaluation, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399728

J. H. Kappes, M. Speth, G. Reinelt, and C. Schnorr, Towards Efficient and Exact MAP-Inference for Large Scale Discrete Computer Vision Problems via Combinatorial Optimization, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013.
DOI : 10.1109/CVPR.2013.229

V. Kolmogorov, Convergent Tree-Reweighted Message Passing for Energy Minimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, 2006.
DOI : 10.1109/TPAMI.2006.200
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.2409

J. Besag, On the Statistical Analysis of Dirty Pictures Julian Besag, Statistical mehodological Society, 1986.

B. Andres, J. H. Kappes, U. Kothe, and F. A. Hamprecht, The Lazy Flipper : MAP Inference in, In: ECCV, 2012.

A. F. Martins, M. A. Figueiredo, P. M. Aguiar, N. A. Smith, and E. P. Xing, An augmented Lagrangian approach to constrained MAP inference, In: ICML, 2011.

D. Sontag, D. Choe, and Y. Li, Efficiently searching for frustrated cycles in MAP inference, In: Uncertainty in Artificial Intelligence, 2012.

D. J. Butler, J. Wulff, G. B. Stanley, and M. J. Black, A Naturalistic Open Source Movie for Optical Flow Evaluation, In: ECCV, 2012.
DOI : 10.1007/978-3-642-33783-3_44
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.5529

A. Milan, K. Schindler, and S. Roth, 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

K. Bernardin and R. Stiefelhagen, Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics, EURASIP Journal on Image and Video Processing, vol.4625, 2008.
DOI : 10.1137/0105003
URL : http://doi.org/10.1155/2008/246309

J. Zhang, L. Presti, and S. Sclaroff, 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

T. Senst, V. Eiselein, and T. Sikora, Robust Local Optical Flow for Feature Tracking, IEEE Transactions on Circuits and Systems for Video Technology, 2012.
DOI : 10.1109/TCSVT.2012.2202070

C. Zach, D. Gallup, and J. Frahm, Fast gain-adaptive KLT tracking on the GPU, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008.
DOI : 10.1109/CVPRW.2008.4563089