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In recent years, numerous effective multi-object tracking (MOT) methods are developed because of the wide range of applications.
Spatial pyramid pooling in deep convolutional networks for visual recognition
He, K., Zhang, X., Ren, S., Sun, J., 2015 · 1916
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MCMC-based particle filtering for tracking a variable number of interacting targets
Khan, Z., Balch, T.R., Dellaert, F., 2005 · 1918
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Discrete-continuous optimization for multi-target tracking, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1926–1933
Andriyenko, A., Schindler, K., Roth, S., 2012 · 1933
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An algorithm for tracking multiple targets
Reid, D.B., 1979 · 1979
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Sonar tracking of multiple targets using joint probabilistic data association
Fortmann, T., Shalom, Y.B., Scheffe, M., 1983 · 1983
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Efficient and accurate approximations of nonlinear convolutional networks, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1984–1992
Zhang, X., Zou, J., Ming, X., He, K., Sun, J., 2015 · 1992
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Exploiting hierarchical dense structures on hypergraphs for multi-object tracking
Wen, L., Lei, Z., Lyu, S., Li, S.Z., Yang, M.H., 2016a · 1996
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Condensation - conditional density propagation for visual tracking
Isard, M., Blake, A., 1998 · 1998
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Video google: A text retrieval approach to object matching in videos, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 1470–1477
Sivic, J., Zisserman, A., 2003 · 2003
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Robust real-time face detection
Viola, P.A., Jones, M.J., 2004 · 2004
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Histograms of oriented gradients for human detection, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 886–893
Dalal, N., Triggs, B., 2005 · 2005
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Performance evaluation of object detection and tracking systems, in: PETS
Bashir, F., Porikli, F., 2006 · 2006
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Human detection using oriented histograms of flow and appearance, in: Proceedings of European Conference on Computer Vision, pp. 428–441
Dalal, N., Triggs, B., Schmid, C., 2006 · 2006
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The CLEAR 2006 evaluation, in: International Evaluation Workshop on Classification of Events, Activities and Relationships, pp. 1–44
Stiefelhagen, R., Bernardin, K., Bowers, R., Garofolo, J.S., Mostefa, D., Soundararajan, P., 2006 · 2006
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Depth and appearance for mobile scene analysis, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 1–8
Ess, A., Leibe, B., Gool, L.J.V., 2007 · 2007
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A linear programming approach for multiple object tracking, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Jiang, H., Fels, S., Little, J.J., 2007 · 2007
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Face detection based on multi-block LBP representation, in: Proceedings of International Conference on Biometrics, pp. 11–18
Zhang, L., Chu, R., Xiang, S., Liao, S., Li, S.Z., 2007 · 2007
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People-tracking-by-detection and people-detection-by-tracking, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Andriluka, M., Roth, S., Schiele, B., 2008 · 2008
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Beyond sliding windows: Object localization by efficient subwindow search, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Lampert, C.H., Blaschko, M.B., Hofmann, T., 2008 · 2008
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A new pedestrian dataset for supervised learning, in: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 373–378
Overett, G., Petersson, L., Brewer, N., Andersson, L., Pettersson, N., 2008 · 2008
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Global data association for multi-object tracking using network flows, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Zhang, L., Li, Y., Nevatia, R., 2008 · 2008
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Imagenet: A large-scale hierarchical image database, in: CVPR, pp. 248–255
Deng, J., Dong, W., Socher, R., Li, L., Li, K., Li, F., 2009 · 2009
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PETS2009: dataset and challenge, in: Proceedings of IEEE International Conference on Advanced Video and Signal-Based Surveillance, pp. 1–6
Ferryman, J.M., Shahrokni, A., 2009 · 2009
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Unscented kalman filters for multiple target tracking with symmetric measurement equations
Leven, W.F., Lanterman, A.D., 2009 · 2009
Earlier work this paper cites.
Learning to associate: Hybridboosted multi-target tracker for crowded scene, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2953–2960
Li, Y., Huang, C., Nevatia, R., 2009 · 2009
Earlier work this paper cites.
Memory-based particle filter for face pose tracking robust under complex dynamics, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 999–1006
Mikami, D., Otsuka, K., Yamato, J., 2009 · 2009
Earlier work this paper cites.
You’ll never walk alone: Modeling social behavior for multi-target tracking, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 261–268
Pellegrini, S., Ess, A., Schindler, K., Gool, L.J.V., 2009 · 2009
Earlier work this paper cites.
Multi-cue onboard pedestrian detection, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 794–801
Wojek, C., Walk, S., Schiele, B., 2009 · 2009
Earlier work this paper cites.
Object detection with discriminatively trained part-based models
Felzenszwalb, P.F., Girshick, R.B., McAllester, D.A., Ramanan, D., 2010 · 2010
Earlier work this paper cites.
Multi-target tracking by continuous energy minimization, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1265–1272
Andriyenko, A., Schindler, K., 2011 · 2011
Earlier work this paper cites.
Stable multi-target tracking in real-time surveillance video, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3457–3464
Benfold, B., Reid, I., 2011 · 2011
Earlier work this paper cites.
Multiple object tracking using k-shortest paths optimization
Berclaz, J., Fleuret, F., Türetken, E., Fua, P., 2011 · 2011
Earlier work this paper cites.
Online multi-person tracking-by-detection from a single, uncalibrated camera
Breitenstein, M.D., Reichlin, F., Leibe, B., Koller-Meier, E., Gool, L.J.V., 2011 · 2011
Earlier work this paper cites.
Multiobject tracking as maximum weight independent set, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1273–1280
Brendel, W., Amer, M.R., Todorovic, S., 2011 · 2011
Cited alongside, same era.
Globally-optimal greedy algorithms for tracking a variable number of objects, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1201–1208
Pirsiavash, H., Ramanan, D., Fowlkes, C.C., 2011 · 2011
Cited alongside, same era.
Segmentation as selective search for object recognition, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 1879–1886
van de Sande, K.E.A., Uijlings, J.R.R., Gevers, T., Smeulders, A.W.M., 2011 · 2011
Cited alongside, same era.
Who are you with and where are you going?, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 1345–1352
Yamaguchi, K., Berg, A.C., Ortiz, L.E., Berg, T.L., 2011 · 2011
Cited alongside, same era.
Fast approximate energy minimization with label costs
Multiple hypothesis tracking revisited, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 4696–4704
Kim, C., Li, F., Ciptadi, A., Rehg, J.M., 2015 · 2015
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Motchallenge 2015: Towards a benchmark for multi-target tracking
Leal-Taixé, L., Milan, A., Reid, I.D., Roth, S., Schindler, K., 2015 · 2015
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Joint probabilistic data association revisited, in: Proceedings of the IEEE International Conference on Computer Vision, pp. 3047–3055
Rezatofighi, S.H., Milan, A., Zhang, Z., Shi, Q., Dick, A.R., Reid, I.D., 2015 · 2015
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ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L., 2015 · 2015
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Very deep convolutional networks for large-scale image recognition, in: ICLR
Simonyan, K., Zisserman, A., 2015 · 2015
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Delong, A., Osokin, A., Isack, H.N., Boykov, Y., 2012 · 2012
Cited alongside, same era.
Pedestrian detection: An evaluation of the state of the art
Dollár, P., Wojek, C., Schiele, B., Perona, P., 2012 · 2012
Cited alongside, same era.
Are we ready for autonomous driving? the KITTI vision benchmark suite, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3354–3361
Geiger, A., Lenz, P., Urtasun, R., 2012 · 2012
Cited alongside, same era.
(MP) 2 T: Multiple people multiple parts tracker, in: Proceedings of European Conference on Computer Vision, pp. 100–114
Izadinia, H., Saleemi, I., Li, W., Shah, M., 2012 · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks, in: Advances in Neural Information Processing Systems, pp. 1106–1114
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
Cited alongside, same era.
A discriminative deep model for pedestrian detection with occlusion handling, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 3258–3265
Ouyang, W., Wang, X., 2012 · 2012
Cited alongside, same era.
Online learned discriminative part-based appearance models for multi-human tracking, in: Proceedings of European Conference on Computer Vision, pp. 484–498
Yang, B., Nevatia, R., 2012 · 2012
Cited alongside, same era.
GMCP-Tracker: Global multi-object tracking using generalized minimum clique graphs, in: Proceedings of European Conference on Computer Vision, pp. 343–356
Zamir, A.R., Dehghan, A., Shah, M., 2012 · 2012
Cited alongside, same era.
Closest in time.
Towards the evaluation of reproducible robustness in tracking-by-detection, in: Proceedings of IEEE International Conference on Advanced Video and Signal-Based Surveillance
Solera, F., Calderara, S., Cucchiara, R., 2015 · 2015
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Subgraph decomposition for multi-target tracking, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 5033–5041
Tang, S., Andres, B., Andriluka, M., Schiele, B., 2015 · 2015
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A unified multi-scale deep convolutional neural network for fast object detection, in: Proceedings of European Conference on Computer Vision, pp. 354–370
Cai, Z., Fan, Q., Feris, R.S., Vasconcelos, N., 2016 · 2016
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Mot16: A benchmark for multi-object tracking
Milan, A., Leal-Taixé, L., Reid, I.D., Roth, S., Schindler, K., 2016 · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks, in: Proceedings of European Conference on Computer Vision, pp. 525–542
Rastegari, M., Ordonez, V., Redmon, J., Farhadi, A., 2016 · 2016
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You only look once: Unified, real-time object detection, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
Redmon, J., Divvala, S.K., Girshick, R.B., Farhadi, A., 2016 · 2016
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WIDER FACE: A face detection benchmark, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 5525–5533
Yang, S., Luo, P., Loy, C.C., Tang, X., 2016 · 2016
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Geometric proposals for faster R-CNN, in: AVSS, pp. 1–6
Amin, S., Galasso, F., 2017 · 2017
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High-speed tracking-by-detection without using image information, in: AVSS, pp. 1–6
Bochinski, E., Eiselein, V., Sikora, T., 2017 · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H., 2017 · 2017
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UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring, in: AVSS, pp. 1–7
Lyu, S., Chang, M., Du, D., Wen, L., Qi, H., Li, Y., Wei, Y., Ke, L., Hu, T., Coco, M.D., Carcagnì, P., et al · 2017
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1 year, 1000 km: The oxford robotcar dataset
Maddern, W., Pascoe, G., Linegar, C., Newman, P., 2017 · 2017
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PETS2016 dataset website
Patino, L., · 2017
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Faster R-CNN: towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R.B., Sun, J., 2017 · 2017
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Evolving boxes for fast vehicle detection, in: ICME, pp. 1135–1140
Wang, L., Lu, Y., Wang, H., Zheng, Y., Ye, H., Xue, X., 2017 · 2017
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The unmanned aerial vehicle benchmark: Object detection and tracking, in: ECCV, pp. 375–391
Du, D., Qi, Y., Yu, H., Yang, Y., Duan, K., Li, G., Zhang, W., Huang, Q., Tian, Q., 2018 · 2018
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Squeeze-and-excitation networks, in: CVPR, pp. 7132–7141
Hu, J., Shen, L., Sun, G., 2018 · 2018
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The apolloscape dataset for autonomous driving, in: CVPRWorkshops, pp. 954–960
Huang, X., Cheng, X., Geng, Q., Cao, B., Zhou, D., Wang, P., Lin, Y., Yang, R., 2018 · 2018
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UA-DETRAC 2018: Report of AVSS2018 & IWT4S challenge on advanced traffic monitoring, in: AVSS, pp. 1–6
Lyu, S., Chang, M., Du, D., Li, W., Wei, Y., Coco, M.D., Carcagnì, P., et al · 2018
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Yolov3: An incremental improvement
Redmon, J., Farhadi, A., 2018 · 2018
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Robust online matrix factorization for dynamic background subtraction
Yong, H., Meng, D., Zuo, W., Zhang, L., 2018 · 2018
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BDD100K: A diverse driving video database with scalable annotation tooling
Yu, F., Xian, W., Chen, Y., Liu, F., Liao, M., Madhavan, V., Darrell, T., 2018 · 2018
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Single-shot refinement neural network for object detection, in: CVPR, pp. 4203–4212
Zhang, S., Wen, L., Bian, X., Lei, Z., Li, S.Z., 2018 · 2018
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Foreground gating and background refining network for surveillance object detection
Fu, Z., Chen, Y., Yong, H., Jiang, R., Zhang, L., Hua, X., 2019 · 2019
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High-level semantic feature detection: A new perspective for pedestrian detection, in: CVPR, pp. 5187–5196
Liu, W., Liao, S., Ren, W., Hu, W., Yu, Y., 2019 · 2019
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Hierarchical attention for part-aware face detection
Wu, S., Kan, M., Shan, S., Chen, X., 2019 · 2019
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Learning structured sparsity in deep neural networks, in: Advances in Neural Information Processing Systems, pp. 2074–2082
Wen, W., Wu, C., Wang, Y., Chen, Y., Li, H., 2016b · 2082
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