Linear network optimization: algorithms and codes
Linear network optimization: algorithms and codes
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-Based Probabilistic Tracking
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maintaining Multi-Modality through Mixture Tracking
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Robust Real-Time Face Detection
International Journal of Computer Vision
Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Estimation of Segmentation and Shape
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Real time hand tracking by combining particle filtering and mean shift
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Machine Vision and Applications
Non-rigid object tracking in complex scenes
Pattern Recognition Letters
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
People detection in low-resolution video with non-stationary background
Image and Vision Computing
Self-Organizing Maps for the Automatic Interpretation of Crowd Dynamics
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
CamShift guided particle filter for visual tracking
Pattern Recognition Letters
Object tracking using SIFT features and mean shift
Computer Vision and Image Understanding
Closed-world tracking of multiple interacting targets for indoor-sports applications
Computer Vision and Image Understanding
Improved Object Tracking Algorithm Based on New HSV Color Probability Model
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Sequential particle generation for visual tracking
IEEE Transactions on Circuits and Systems for Video Technology
Event tactic analysis based on broadcast sports video
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia - Special issue on integration of context and content
Adaptive mean-shift tracking with auxiliary particles
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Discriminative mean shift tracking with auxiliary particles
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Tracking a group of highly correlated targets
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Identity recognition-based correction mechanism for face tracking
AMDO'10 Proceedings of the 6th international conference on Articulated motion and deformable objects
Multi-cue-based CamShift guided particle filter tracking
Expert Systems with Applications: An International Journal
Particle filter-based visual tracking with a first order dynamic model and uncertainty adaptation
Computer Vision and Image Understanding
An experimental framework for evaluating PTZ tracking algorithms
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Editors Choice Article: Tracking highly correlated targets through statistical multiplexing
Image and Vision Computing
Hierarchical model for joint detection and tracking of multi-target
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Robust real-time multiple target tracking
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
International Journal of Computational Vision and Robotics
Tracking video objects with feature points based particle filtering
Multimedia Tools and Applications
Kalman particle PHD filter for multi-target visual tracking
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Tracking of multiple targets using on-line learning for appearance model adaptation
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Face association across unconstrained video frames using conditional random fields
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
HBU'12 Proceedings of the Third international conference on Human Behavior Understanding
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Identification and tracking of players in sport videos
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
An association-based multi-target tracking method
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Probabilistic cue integration for real-time object pose tracking
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Tracking-by-detection of multiple persons by a resample-move particle filter
Machine Vision and Applications
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We address the problem of robust multi-target tracking within the application of hockey player tracking. The particle filter technique is adopted and modified to fit into the multi-target tracking framework. A rectification technique is employed to find the correspondence between the video frame coordinates and the standard hockey rink coordinates so that the system can compensate for camera motion and improve the dynamics of the players. A global nearest neighbor data association algorithm is introduced to assign boosting detections to the existing tracks for the proposal distribution in particle filters. The mean-shift algorithm is embedded into the particle filter framework to stabilize the trajectories of the targets for robust tracking during mutual occlusion. Experimental results show that our system is able to automatically and robustly track a variable number of targets and correctly maintain their identities regardless of background clutter, camera motion and frequent mutual occlusion between targets.