Rapid octree construction from image sequences
CVGIP: Image Understanding
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D articulated models and multiview tracking with physical forces
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Human Body Model Acquisition and Tracking Using Voxel Data
International Journal of Computer Vision
Real-Time Tracking of Multiple Articulated Structures in Multiple Views
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Multi-camera Scene Reconstruction via Graph Cuts
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
3D Articulated Models and Multi-View Tracking with Silhouettes
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Tracking Articulated Body by Dynamic Markov Network
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-View Stereo via Volumetric Graph-Cuts
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Fusion of Multi-View Silhouette Cues Using a Space Occupancy Grid
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
3D Skeleton-Based Body Pose Recovery
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
A Quantitative Evaluation of Video-based 3D Person Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Robust 3D modeling from silhouette cues
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
IEEE Transactions on Evolutionary Computation
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In this paper, we propose an automated and markless human motion tracking system, including voxel acquisition and motion tracking. We first explore the problem of voxel reconstruction under a complex environment. Specifically, the procedure of the voxel acquisition is conducted under cluttered background, which makes the high quality silhouette unavailable. An accelerated Bayesian sensor fusion framework combining the information of pixel and super-pixel is adopted to calculate the probability of voxel occupancy, which is achieved by focusing the computation on the image region of interest. The evaluation of reconstruction result is given as well. After the acquisition of voxels, we adopt a hierarchical optimization strategy to solve the problem of human motion tracking in a high-dimensional space. Finally, the performance of our human motion tracking system is compared with the ground truth from a commercial marker motion capture. The experimental results show the proposed human motion tracking system works well under a complex environment.