Long term real trajectory reuse through region goal satisfaction
MIG'11 Proceedings of the 4th international conference on Motion in Games
An adaptive sample count particle filter
Computer Vision and Image Understanding
Combining per-frame and per-track cues for multi-person action recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
GMCP-Tracker: global multi-object tracking using generalized minimum clique graphs
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
(MP)2T: multiple people multiple parts tracker
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Exploiting pedestrian interaction via global optimization and social behaviors
Proceedings of the 15th international conference on Theoretical Foundations of Computer Vision: outdoor and large-scale real-world scene analysis
Iterative appearance learning with online multiple instance learning
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Multiple target tracking using frame triplets
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Spatio-Temporal clustering model for multi-object tracking through occlusions
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Iterative hypothesis testing for multi-object tracking with noisy/missing appearance features
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Bagadus: an integrated system for arena sports analytics: a soccer case study
Proceedings of the 4th ACM Multimedia Systems Conference
International Journal of Computer Vision
A comparative study on multi-person tracking using overlapping cameras
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Automatic parameter adaptation for multi-object tracking
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Low-complexity scalable distributed multicamera tracking of humans
ACM Transactions on Sensor Networks (TOSN)
Bagadus: An integrated real-time system for soccer analytics
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
Take your eyes off the ball: Improving ball-tracking by focusing on team play
Computer Vision and Image Understanding
Online parameter tuning for object tracking algorithms
Image and Vision Computing
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Multi-object tracking can be achieved by detecting objects in individual frames and then linking detections across frames. Such an approach can be made very robust to the occasional detection failure: If an object is not detected in a frame but is in previous and following ones, a correct trajectory will nevertheless be produced. By contrast, a false-positive detection in a few frames will be ignored. However, when dealing with a multiple target problem, the linking step results in a difficult optimization problem in the space of all possible families of trajectories. This is usually dealt with by sampling or greedy search based on variants of Dynamic Programming which can easily miss the global optimum. In this paper, we show that reformulating that step as a constrained flow optimization results in a convex problem. We take advantage of its particular structure to solve it using the k-shortest paths algorithm, which is very fast. This new approach is far simpler formally and algorithmically than existing techniques and lets us demonstrate excellent performance in two very different contexts.