Tracking and data association
A Probabilistic Exclusion Principle for Tracking Multiple Objects
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Articulated Body Motion Capture by Stochastic Search
International Journal of Computer Vision
Online Selection of Discriminative Tracking Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Multi-object tracking driven event detection for evaluation
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Understanding dynamic scenes based on human sequence evaluation
Image and Vision Computing
Machine Vision and Applications
On reasoning over tracking events
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Multi-object tracking evaluated on sparse events
Multimedia Tools and Applications
Solving multiple-target tracking using adaptive filters
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Path analysis in multiple-target video sequences
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Tracking video objects with feature points based particle filtering
Multimedia Tools and Applications
Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios
Expert Systems with Applications: An International Journal
Finite asymmetric generalized Gaussian mixture models learning for infrared object detection
Computer Vision and Image Understanding
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This work presents two main contributions to achieve robust multiple-target tracking in uncontrolled scenarios. A novel system which consists on a hierarchical architecture is proposed. Each level is devoted to one of the main tracking functionalities: target detection, low-level tracking, and high-level tasks such as target-appearance representation, or event management. Secondly, tracking performances are enhanced by on-line building and updating multiple appearance models. Successful experimental results are accomplished on sequences with significant illumination changes, grouping, splitting and occlusion events.