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We present an extension to the disjoint paths problem in which additional \emph{lifted} edges are introduced to provide path connectivity priors.
The complexity of theorem-proving procedures
Cook, S. A · 1971
Earlier work this paper cites.
Disjoint paths in a network
Suurballe, J · 1974
Earlier work this paper cites.
On the complexity of timetable and multicommodity flow problems
Even, S., Itai, A., and Shamir, A · 1976
Earlier work this paper cites.
Network flows
Ahuja, R. K., Magnanti, T. L., and Orlin, J. B · 1988
Earlier work this paper cites.
The disjoint shortest paths problem
Eilam-Tzoreff, T · 1998
Earlier work this paper cites.
Evaluating multiple object tracking performance: the clear mot metrics
Bernardin, K. and Stiefelhagen, R · 2008
Earlier work this paper cites.
Global data association for multi-object tracking using network flows
Zhang, L., Li, Y., and Nevatia, R · 2008
Earlier work this paper cites.
Learning to associate: Hybridboosted multi-target tracker for crowded scene
Li, Y., Huang, C., and Nevatia, R · 2009
Earlier work this paper cites.
Global interactions in random field models: A potential function ensuring connectedness
Nowozin, S. and Lampert, C. H · 2010
Earlier work this paper cites.
Multiple object tracking using k-shortest paths optimization
Berclaz, J., Fleuret, F., Turetken, E., and Fua, P · 2011
Earlier work this paper cites.
Multiobject tracking as maximum weight independent set
Brendel, W., Amer, M., and Todorovic, S · 2011
Earlier work this paper cites.
Branch-and-price global optimization for multi-view multi-target tracking
Leal-Taixé, L., Pons-Moll, G., and Rosenhahn, B · 2012
Earlier work this paper cites.
Linear time algorithms for two disjoint paths problems on directed acyclic graphs
Tholey, T · 2012
Earlier work this paper cites.
GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs
Zamir, A. R., Dehghan, A., and Shah, M · 2012
Earlier work this paper cites.
Hypergraphs for joint multi-view reconstruction and multi-object tracking
Hofmann, M., Wolf, D., and Rigoll, G · 2013
Earlier work this paper cites.
Deepflow: Large displacement optical flow with deep matching
Weinzaepfel, P., Revaud, J., Harchaoui, Z., and Schmid, C · 2013
Earlier work this paper cites.
Efficient multiple people tracking using minimum cost arborescences
Henschel, R., Leal-Taixé, L., and Rosenhahn, B · 2014
Earlier work this paper cites.
Multiple object tracking by efficient graph partitioning
Kumar, R., Charpiat, G., and Thonnat, M · 2014
Earlier work this paper cites.
Tracking multiple people online and in real time
Ristani, E. and Tomasi, C · 2014
Earlier work this paper cites.
On pairwise costs for network flow multi-object tracking
Chari, V., Lacoste-Julien, S., Laptev, I., and Sivic, J · 2015
Cited alongside, same era.
GMMCP tracker: Globally optimal generalized maximum multi clique problem for multiple object tracking
Dehghan, A., Modiri Assari, S., and Shah, M · 2015
Cited alongside, same era.
Efficient decomposition of image and mesh graphs by lifted multicuts
Keuper, M., Levinkov, E., Bonneel, N., Lavoué, G., Brox, T., and Andres, B · 2015
Cited alongside, same era.
Minimum-cost flow algorithms: an experimental evaluation
Kovács, P · 2015
Cited alongside, same era.
MOTChallenge 2015: Towards a benchmark for multi-target tracking
Leal-Taixé, L., Milan, A., Reid, I., Roth, S., and Schindler, K · 2015
Cited alongside, same era.
Subgraph decomposition for multi-target tracking
Tracking the untrackable: Learning to track multiple cues with long-term dependencies
Sadeghian, A., Alahi, A., and Savarese, S · 2017
Later among the works it cites.
Multiple people tracking by lifted multicut and person re-identification
Tang, S., Andriluka, M., Andres, B., and Schiele, B · 2017
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Multiple people tracking using hierarchical deep tracklet re-identification
Babaee, M., Athar, A., and Rigoll, G · 2018
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Fusion of head and full-body detectors for multi-object tracking
Henschel, R., Leal-Taixé, L., Cremers, D., and Rosenhahn, B · 2018
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Motion segmentation & multiple object tracking by correlation co-clustering
Keuper, M., Tang, S., Andres, B., Brox, T., and Schiele, B · 2018
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Tang, S., Andres, B., Andriluka, M., and Schiele, B · 2015
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Scalable person re-identification: A benchmark
Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., and Tian, Q · 2015
Cited alongside, same era.
Tracking with multi-level features
Henschel, R., Leal-Taixé, L., Rosenhahn, B., and Schindler, K · 2016
Cited alongside, same era.
A multi-cut formulation for joint segmentation and tracking of multiple objects
Keuper, M., Tang, S., Zhongjie, Y., Andres, B., Brox, T., and Schiele, B · 2016
Cited alongside, same era.
MOT16: A benchmark for multi-object tracking
Milan, A., Leal-Taixé, L., Reid, I., Roth, S., and Schindler, K · 2016
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Performance measures and a data set for multi-target, multi-camera tracking
Ristani, E., Solera, F., Zou, R. S., Cucchiara, R., and Tomasi, C · 2016
Cited alongside, same era.
Multi-person tracking by multicut and deep matching
Tang, S., Andres, B., Andriluka, M., and Schiele, B · 2016
Cited alongside, same era.
Ma, L., Tang, S., Black, M. J., and Van Gool, L · 2018
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Features for multi-target multi-camera tracking and re-identification
Ristani, E. and Tomasi, C · 2018
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Heterogeneous association graph fusion for target association in multiple object tracking
Sheng, H., Zhang, Y., Chen, J., Xiong, Z., and Zhang, J · 2018
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Recovering accurate 3d human pose in the wild using imus and a moving camera
von Marcard, T., Henschel, R., Black, M. J., Rosenhahn, B., and Pons-Moll, G · 2018
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Person transfer gan to bridge domain gap for person re-identification
Wei, L., Zhang, S., Gao, W., and Tian, Q · 2018
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Tracking without bells and whistles
Bergmann, P., Meinhardt, T., and Leal-Taixé, L · 2019
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Aggregate tracklet appearance features for multi-object tracking
Chen, L., Ai, H., Chen, R., and Zhuang, Z · 2019
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Famnet: Joint learning of feature, affinity and multi-dimensional assignment for online multiple object tracking
Chu, P. and Ling, H · 2019
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Online multi-object tracking with instance-aware tracker and dynamic model refreshment
Chu, P., Fan, H., Tan, C. C., and Ling, H · 2019
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Gurobi optimizer reference manual, 2019
Gurobi Optimization, L · 2019
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Dual L1-normalized context aware tensor power iteration and its applications to multi-object tracking and multi-graph matching
Hu, W., Shi, X., Zhou, Z., Xing, J., Ling, H., and Maybank, S · 2019
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Spatial-temporal relation networks for multi-object tracking
Xu, J., Cao, Y., Zhang, Z., and Hu, H · 2019
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Joint discriminative and generative learning for person re-identification
Zheng, Z., Yang, X., Yu, Z., Zheng, L., Yang, Y., and Kautz, J · 2019
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