Tracking and data association
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Robust multiple car tracking with occlusion reasoning
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Learning flexible models from image sequences
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Spatial Dependence in the Observation of Visual Contours
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
W4S: A real-time system detecting and tracking people in 2 1/2D
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Real-time closed-world tracking
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Joint Probabilistic Techniques for Tracking Multi-Part Objects
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A PDE-Based Level-Set Approach for Detection and Tracking of Moving Objects
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Robust Tracking with Spatio-Velocity Snakes Kalman Filtering Approach
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Probabilistic Contour Discriminant for Object Localisation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Mixed-State Condensation Tracker with Automatic Model-Switching
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A Gesture Based Interface for Human-Robot Interaction
Autonomous Robots
A Layered Motion Representation with Occlusion and Compact Spatial Support
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Object Tracking with an Adaptive Color-Based Particle Filter
Proceedings of the 24th DAGM Symposium on Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A General Framework for Combining Visual Trackers --- The "Black Boxes" Approach
International Journal of Computer Vision
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Imaging Facial Physiology for the Detection of Deceit
International Journal of Computer Vision
Computational studies of human motion: part 1, tracking and motion synthesis
Foundations and Trends® in Computer Graphics and Vision
ACM Computing Surveys (CSUR)
Robotics and Autonomous Systems
Computer Vision and Image Understanding
A particle filter for joint detection and tracking of color objects
Image and Vision Computing
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Joint audio-visual tracking using particle filters
EURASIP Journal on Applied Signal Processing
MAP ZDF segmentation and tracking using active stereo vision: Hand tracking case study
Computer Vision and Image Understanding
EURASIP Journal on Applied Signal Processing
A feedback-based algorithm for motion analysis with application to object tracking
EURASIP Journal on Applied Signal Processing
Multilevel mixture Kalman filter
EURASIP Journal on Applied Signal Processing
A General Method for Sensor Planning in Multi-Sensor Systems: Extension to Random Occlusion
International Journal of Computer Vision
Multiview-based cooperative tracking of multiple human objects
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Robust Multiple-People Tracking Using Colour-Based Particle Filters
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Multi-person Tracking Strategies Based on Voxel Analysis
Multimodal Technologies for Perception of Humans
Track and cut: simultaneous tracking and segmentation of multiple objects with graph cuts
Journal on Image and Video Processing - Video Tracking in Complex Scenes for Surveillance Applications
Robust Tracking for Processing of Videos of Communication's Gestures
Gesture-Based Human-Computer Interaction and Simulation
Using Articulated Models for Tracking Multiple C. elegans in Physical Contact
Journal of Signal Processing Systems
Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis
Image and Vision Computing
Mean field approach for tracking similar objects
Computer Vision and Image Understanding
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Machine Vision and Applications
Visual tracking of independently moving body and arms
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Tracking multiple people with recovery from partial and total occlusion
Pattern Recognition
A distributed algorithm for managing multi-target identities in wireless ad-hoc sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Multiple object tracking via multi-layer multi-modal framework
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
A multi-view camera system for the generation of real-time occlusion-free scene video
Proceedings of the 29th DAGM conference on Pattern recognition
2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints
Journal of Intelligent and Robotic Systems
Coping with full occlusion in fronto-normal gait by using missing data theory
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Tracking of multiple interacting objects using a novel prediction model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multi-object detection and tracking by stereo vision
Pattern Recognition
Weakly supervised classification of objects in images using soft random forests
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Adaptive parallel/serial sampling mechanisms for particle filtering in dynamic Bayesian networks
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance
Image and Vision Computing
Introducing fuzzy spatial constraints in a ranked partitioned sampling for multi-object tracking
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Particle filtering with factorized likelihoods for tracking facial features
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Occlusion handling with l1-regularized sparse reconstruction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Particle Filtering with Region-based Matching for Tracking of Partially Occluded and Scaled Targets
SIAM Journal on Imaging Sciences
A probabilistic multimodal sensor aggregation scheme applied for a mobile robot
KI'05 Proceedings of the 28th annual German conference on Advances in Artificial Intelligence
Unconstrained multiple-people tracking
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Robust visual tracking for multiple targets
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Body posture estimation in sign language videos
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Multiple people tracking and pose estimation with occlusion estimation
Computer Vision and Image Understanding
Intrackability: Characterizing Video Statistics and Pursuing Video Representations
International Journal of Computer Vision
Shape based appearance model for kernel tracking
Image and Vision Computing
A Self-Training Approach for Visual Tracking and Recognition of Complex Human Activity Patterns
International Journal of Computer Vision
Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking
Computer Vision and Image Understanding
Visual tracking and learning using speeded up robust features
Pattern Recognition Letters
Identification and tracking of robots in an intelligent space using static cameras and an XPFCP
Robotics and Autonomous Systems
GW'11 Proceedings of the 9th international conference on Gesture and Sign Language in Human-Computer Interaction and Embodied Communication
Detecting start and end times of object-handlings on a table by fusion of camera and load sensors
Proceedings of the 5th international workshop on Multimedia for cooking & eating activities
Tracking-by-detection of multiple persons by a resample-move particle filter
Machine Vision and Applications
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Tracking multiple targets is a challenging problem, especially when the targets are “identical”, in the sense that the same model is used to describe each target. In this case, simply instantiating several independent 1-body trackers is not an adequate solution, because the independent trackers tend to coalesce onto the best-fitting target. This paper presents an observation density for tracking which solves this problem by exhibiting a probabilistic exclusion principle. Exclusion arises naturally from a systematic derivation of the observation density, without relying on heuristics. Another important contribution of the paper is the presentation of partitioned sampling, a new sampling method for multiple object tracking. Partitioned sampling avoids the high computational load associated with fully coupled trackers, while retaining the desirable properties of coupling.