Citation: | Meng Zhao, Junhui Wang, Maoyong Cao, Peirui Bai, Hongyan Gu, Mingtao Pei. Multi-Object Tracking Based on Segmentation and Collision Avoidance[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 213-219.doi:10.15918/j.jbit1004-0579.201827.0208 |
[1] |
Milan A, Leal T L, Schindler K, et al. Joint tracking and segmentation of multiple targets[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015:5397-5406.
|
[2] |
Pirsiavash H, Ramanan D, Fowlkes C. Globally-optimal greedy algorithms for tracking a variable number of objects[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Colorado, USA, 2011:1201-1208.
|
[3] |
Zhang L, Li Y, Nevatia R. Global data association for multi-object tracking using network flows[C]//IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, Alaska, USA, 2008:1-8.
|
[4] |
Berclaz J, Fleuret F, Turetken E. Multiple object tracking using k-shortest paths optimization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011,33(9):1806-1819.
|
[5] |
Butt A, Collins R. Multi-target tracking by Lagrangian relaxation to min-cost network flow[C]//IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon,USA, 2013:1846-1853.
|
[6] |
Wang S, Charless C F. Learning optimal parameters for multi-target tracking with contextual interactions[J]. International Journal of Computer Vision, 2017,122(3):484-501.
|
[7] |
Alex B, Lionel O, Fabio R, et al. Alextrac: affinity learning by exploring temporal reinforcement within association chains[C]//IEEE International Conference on Robotics and Automation, Stockholm, Sweden, 2016:2212-2218.
|
[8] |
Loïc F B, Romaric A, Yoann D, et al. Improving multi-frame data association with sparse representations for robust near-online multi-object tracking[C]// European Conference on Computer Vision, Amsterdam, The Netherlands, 2016:774-790.
|
[9] |
Yu Xiang, Alexandre Alahi, Silvio Savarese. Learning to track: online multi-object tracking by decision making[C]//Proceedings of the IEEE International Conference on Computer Vision, Santiago, Chile, 2015: 4705-4713.
|
[10] |
Jaeyong J, Daehun K, Bonhwa K, et al. Online multi-person tracking with two-stage data association and online appearance model learning[J]. IET Computer Vision, 2017,11(1):87-95..
|
[11] |
Yang M, Wu Y, Jia Y D. A hybrid data association framework for robust online multi-object tracking[J]. IEEE Transactions on Image Processing, 2017,26(12):5667-5679.
|
[12] |
Dehghan A, Tian Y, Torr P H S, et al. Target identity-aware network flow for online multiple target tracking[C]//Computer Vision and Pattern Recognition, Boston, USA, 2015:1146-1154.
|
[13] |
Zamir A R, Dehghan A, Shah M. Gmcp-tracker: global multi-object tracking using generalized minimum clique graphs[C]// European Conference on Computer Vision,Firenze,Italy, 2012:343-356.
|
[14] |
Dehghan A, Modiri A S, Shah M. Gmmcp tracker: Globally optimal generalized maximum multi clique problem for multiple object tracking[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Boston, USA, 2015:4091-4099.
|
[15] |
Shu G, Dehghan A, Oreifej O, et al. Part-based multiple-person tracking with partial occlusion handling[C]//Computer Vision and Pattern Recognition, Rhode Island, USA, 2012:1815-1821.
|
[16] |
Shu G, Dehghan A, Shah M. Improving an object detector and extracting regions using superpixels[C]// Computer Vision and Pattern Recognition, Oregon,USA, 2013:3721-3727.
|
[17] |
Brox T, Malik J. Object segmentation by long term analysis of point trajectories[C]// European Conference on Computer Vision, Crete, Greece, 2010:282-295.
|
[18] |
Galasso F, Keuper M, Brox T, et al. Spectral graph reduction for efficient image and streaming video segmentation[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Ohio,USA, 2014:49-56.
|
[19] |
Bibby C, Reid I. Real-time tracking of multiple occluding objects using level sets[C]//IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010: 1307-1314.
|
[20] |
Horbert E, Rematas K, Leibe B. Level-set person segmentation and tracking with multi-region appearance models and top-down shape information[C]//International Conference on Computer Vision, Barcelona, Spain, 2011: 1871-1878.
|
[21] |
Mitzel D, Horbert E, Ess A, et al. Multi-person tracking with sparse detection and continuous segmentation[C]//European Conference on Computer Vision, Crete, Greece, 2010:397-410.
|
[22] |
Andriyenko A, Schindler K. Multi-target tracking by continuous energy minimization[C]// Computer Vision and Pattern Recognition, Colorado, USA, 2011: 1265-1272.
|
[23] |
Milan A, Roth S, Schindler K. Continuous energy minimization for multitarget tracking[J]. Pattern Analysis and Machine Intelligence, 2014,36(1): 58-72.
|
[24] |
Ferryman J, Shahrokni A. PETS2009: dataset and challenge[C]// IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Miami, Florida,USA, 2009:1-6.
|
[25] |
Andriluka M, Roth S, Schiele B. People-tracking-by-detection and people detection-by-tracking[C]// Computer Vision and Pattern Recognition, Alaska, USA, 2008:1-8.
|
[26] |
Andriluka M, Roth S, Schiele B. Monocular 3D pose estimation and tracking by detection[C]// Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010: 623-630.
|
[27] |
Bernardin K, Stiefelhagen R. Evaluating multiple object tracking performance: the CLEAR MOT metrics[J]. Journal on Image and Video Processing,2008, 2008(1):246309.
|
[28] |
Li Y, Huang C, Nevatia R. Learning to associate: Hybrid-boosted multi-target tracker for crowded scene[C]//Computer Vision and Pattern Recognition, Miami, Florida, USA, 2009:2953-2960.
|