CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Tracking Multiple Humans in Complex Situations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic People Tracking for Occlusion Handling
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Towards Automatic Body Language Annotation
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
An information theoretic rule for sample size adaptation in particle filtering
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
A generative approach to audio-visual person tracking
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
Robust online appearance models for visual tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Joint Bayesian Tracking of Head Location and Pose from Low-Resolution Video
Multimodal Technologies for Perception of Humans
Visual Focus of Attention in Dynamic Meeting Scenarios
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Multimodal Classification of Activities of Daily Living Inside Smart Homes
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
| Hi-index | 0.00 |
This paper presents a visual particle filter for tracking a variable number of humans interacting in indoor environments, using multiple cameras. It is built upon a 3-dimensional, descriptive appearance model which features (i) a 3D shape model assembled from simple body part elements and (ii) a fast while still reliable rendering procedure developed on a key view basis of previously acquired body part color histograms. A likelihood function is derived which, embedded in an occlusion-robust multibody tracker, allows for robust and ID persistent 3D tracking in cluttered environments. We describe both model rendering and target detection procedures in detail, and report a quantitative evaluation of the approach on the `CLEAR'07 3D Person Tracking' corpus.