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Multi-People Tracking in an open-world setting requires a special effort in precise detection.
Andriluka, M., Roth, S., Schiele, B.: People-tracking-by-detection and people-detection-by-tracking. In: Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. pp. 1–8. IEEE (2008)
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Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Transactions on Pattern Analysis and Machine Intelligence 32
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Izadinia, H., Saleemi, I., Li, W., Shah, M.: 2t: Multiple people multiple parts tracker. In: European Conference on Computer Vision. pp. 100–114. Springer (2012)
2012
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Jhuang, H., Gall, J., Zuffi, S., Schmid, C., Black, M.J.: Towards understanding action recognition. In: Computer Vision (ICCV), 2013 IEEE International Conference on. pp. 3192–3199. IEEE (2013)
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2013
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Andriluka, M., Pishchulin, L., Gehler, P., Schiele, B.: 2d human pose estimation: New benchmark and state of the art analysis. CVPR (2014)
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Jain, A., Tompson, J., LeCun, Y., Bregler, C.: Modeep: A deep learning framework using motion features for human pose estimation. In: Asian conference on computer vision. pp. 302–315. Springer (2014)
2014
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Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: European conference on computer vision. pp. 740–755. Springer (2014)
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2014
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Dehghan, A., Tian, Y., Torr, P.H.S., Shah, M.: Target identity-aware network flow for online multiple target tracking. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 1146–1154 (June 2015). https://doi.org/10.1109/CVPR.2015.7298718
2015
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Hamid Rezatofighi, S., Milan, A., Zhang, Z., Shi, Q., Dick, A., Reid, I.: Joint probabilistic data association revisited. In: The IEEE International Conference on Computer Vision (ICCV) (December 2015)
2015
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Pfister, T., Charles, J., Zisserman, A.: Flowing convnets for human pose estimation in videos. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 1913–1921 (2015)
2015
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Solera, F., Calderara, S., Cucchiara, R.: Towards the evaluation of reproducible robustness in tracking-by-detection. In: 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). pp. 1–6 (Aug 2015). https://doi.org/10.1109/AVSS.2015.7301755
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Zhang, D., Shah, M.: Human pose estimation in videos. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 2012–2020 (2015)
2015
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Bulat, A., Tzimiropoulos, G.: Human pose estimation via convolutional part heatmap regression. In: European Conference on Computer Vision. pp. 717–732. Springer (2016)
2016
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Carreira, J., Agrawal, P., Fragkiadaki, K., Malik, J.: Human pose estimation with iterative error feedback. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4733–4742 (2016)
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Charles, J., Pfister, T., Magee, D., Hogg, D., Zisserman, A.: Personalizing human video pose estimation. In: Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on. pp. 3063–3072. IEEE (2016)
2016
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Yu, F., Li, W., Li, Q., Liu, Y., Shi, X., Yan, J.: Poi: Multiple object tracking with high performance detection and appearance feature. In: Hua, G., Jégou, H. (eds.) Computer Vision – ECCV 2016 Workshops. pp. 36–42. Springer International Publishing, Cham (2016)
2016
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Bae, S.H., Yoon, K.J.: Confidence-based data association and discriminative deep appearance learning for robust online multi-object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 40
2017
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Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. In: CVPR. vol. 1, p. 7 (2017)
2017
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Chu, Q., Ouyang, W., Li, H., Wang, X., Liu, B., Yu, N.: Online multi-object tracking using cnn-based single object tracker with spatial-temporal attention mechanism. In: 2017 IEEE International Conference on Computer Vision (ICCV). pp. 4846–4855 (Oct 2017). https://doi.org/10.1109/ICCV.2017.518
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Gkioxari, G., Toshev, A., Jaitly, N.: Chained predictions using convolutional neural networks. In: European Conference on Computer Vision. pp. 728–743. Springer (2016)
2016
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Hu, P., Ramanan, D.: Bottom-up and top-down reasoning with hierarchical rectified gaussians. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5600–5609 (2016)
2016
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Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., Schiele, B.: Deepercut: A deeper, stronger, and faster multi-person pose estimation model. In: European Conference on Computer Vision. pp. 34–50. Springer (2016)
2016
Cited alongside, same era.
Iqbal, U., Gall, J.: Multi-person pose estimation with local joint-to-person associations. In: European Conference on Computer Vision. pp. 627–642. Springer (2016)
2016
Cited alongside, same era.
Milan, A., Leal-Taixé, L., Reid, I., Roth, S., Schindler, K.: MOT16: A benchmark for multi-object tracking. arXiv: 1603.00831 (2016)
2016
Cited alongside, same era.
Newell, A., Yang, K., Deng, J.: Stacked hourglass networks for human pose estimation. In: European Conference on Computer Vision. pp. 483–499. Springer (2016)
2016
Cited alongside, same era.
Pishchulin, L., Insafutdinov, E., Tang, S., Andres, B., Andriluka, M., Gehler, P.V., Schiele, B.: Deepcut: Joint subset partition and labeling for multi person pose estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4929–4937 (2016)
2016
Cited alongside, same era.
Sanchez-Matilla, R., Poiesi, F., Cavallaro, A.: Online multi-target tracking with strong and weak detections. In: Hua, G., Jégou, H. (eds.) Computer Vision – ECCV 2016 Workshops. pp. 84–99. Springer International Publishing, Cham (2016)
2016
Cited alongside, same era.
2017
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Feichtenhofer, C., Pinz, A., Zisserman, A.: Detect to track and track to detect. In: IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017. pp. 3057–3065 (2017). https://doi.org/10.1109/ICCV.2017.330, https://doi.org/10.1109/ICCV.2017.330
2017
Later among the works it cites.
Insafutdinov, E., Andriluka, M., Pishchulin, L., Tang, S., Levinkov, E., Andres, B., Schiele, B.: Arttrack: Articulated multi-person tracking in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). vol. 4327 (2017)
2017
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Iqbal, U., Milan, A., Gall, J.: Posetrack: Joint multi-person pose estimation and tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. vol. 1 (2017)
2017
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Levinkov, E., Uhrig, J., Tang, S., Omran, M., Insafutdinov, E., Kirillov, A., Rother, C., Brox, T., Schiele, B., Andres, B.: Joint graph decomposition & node labeling: Problem, algorithms, applications. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)
2017
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Newell, A., Huang, Z., Deng, J.: Associative embedding: End-to-end learning for joint detection and grouping. In: Advances in Neural Information Processing Systems. pp. 2274–2284 (2017)
2017
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2017
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Sadeghian, A., Alahi, A., Savarese, S.: Tracking the untrackable: Learning to track multiple cues with long-term dependencies. In: 2017 IEEE International Conference on Computer Vision (ICCV). pp. 300–311 (Oct 2017). https://doi.org/10.1109/ICCV.2017.41
2017
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Wojke, N., Bewley, A., Paulus, D.: Simple online and realtime tracking with a deep association metric. In: 2017 IEEE International Conference on Image Processing (ICIP). pp. 3645–3649 (2017)
2017
Later among the works it cites.
Andriluka, M., Iqbal, U., Milan, A., Insafutdinov, E., Pishchulin, L., Gall, J., Schiele, B.: Posetrack: A benchmark for human pose estimation and tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 5167–5176 (2018)
2018
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