Scene Aware Detection and Block Assignment Tracking in crowded scenes
Image and Vision Computing
Extended MHT algorithm for multiple object tracking
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
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
Online learned discriminative part-based appearance models for multi-human tracking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
(MP)2T: multiple people multiple parts tracker
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Face association across unconstrained video frames using conditional random fields
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
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
A unified framework for multi-target tracking and collective activity recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Online multi-target tracking by large margin structured learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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
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
International Journal of Computer Vision
Tracking with a mixed continuous-discrete Conditional Random Field
Computer Vision and Image Understanding
Carried object detection and tracking using geometric shape models and spatio-temporal consistency
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Pattern Recognition Letters
Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns
International Journal of Computer Vision
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We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as well as their birth and death states. We show that the global solution can be obtained with a greedy algorithm that sequentially instantiates tracks using shortest path computations on a flow network. Greedy algorithms allow one to embed pre-processing steps, such as nonmax suppression, within the tracking algorithm. Furthermore, we give a near-optimal algorithm based on dynamic programming which runs in time linear in the number of objects and linear in the sequence length. Our algorithms are fast, simple, and scalable, allowing us to process dense input data. This results in state-of-the-art performance.