UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking
Multimodal Technologies for Perception of Humans
Tracking of Abrupt Motion Using Wang-Landau Monte Carlo Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
A motion observable representation using color correlogram and its applications to tracking
Computer Vision and Image Understanding
Probabilistic fusion-based parameter estimation for visual tracking
Computer Vision and Image Understanding
Tracking nonstationary visual appearances by data-driven adaptation
IEEE Transactions on Image Processing
Multi-scale feature density approximation for object representation and tracking
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
A joint system for single-person 2D-face and 3D-head tracking in CHIL seminars
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
An adaptive Bayesian technique for tracking multiple objects
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Discriminative nonorthogonal binary subspace tracking
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Effective appearance model and similarity measure for particle filtering and visual tracking
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Adaptive sparse vector tracking via online bayesian learning
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Visual tracking via weakly supervised learning from multiple imperfect oracles
Pattern Recognition
Regressing Local to Global Shape Properties for Online Segmentation and Tracking
International Journal of Computer Vision
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We propose a novel approach for shape-based segmentation based on a specially designed level set function format. This format permits us to better control the process of object registration which is an important part in the shapebased segmentation framework. ...