Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
Combining 2D Feature Tracking and Volume Reconstruction for Online Video-Based Human Motion Capture
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Real-time 3-D human body tracking using learnt models of behaviour
Computer Vision and Image Understanding
SparseSPOT: using a priori 3-D tracking for real-time multi-person voxel reconstruction
Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology
Markerless human motion tracking with a flexible model and appearance learning
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Real-time and markerless 3D human motion capture using multiple views
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Evaluation of an inexpensive depth camera for in-home gait assessment
Journal of Ambient Intelligence and Smart Environments
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This paper presents a robust method for real-time visual human body tracking. We perform a hierarchical 3-D reconstruction from multiple camera views as a basis for tracking. Blobs attached to a kinematic model are then used to reliably track individual body parts with both volume and color information. We describe how the blob-model is dynamically adjusted to accommodate different body configurations. In tests, our system has proved robust in presence of noisy data and self-occlusions.