Video Monitoring of Vulnerable People in Home Environment
ICOST '08 Proceedings of the 6th international conference on Smart Homes and Health Telematics
Attention monitoring for music contents based on analysis of signal-behavior structures
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Tracking objects with generic calibrated sensors: An algorithm based on color and 3D shape features
Robotics and Autonomous Systems
Understanding transit scenes: a survey on human behavior-recognition algorithms
IEEE Transactions on Intelligent Transportation Systems
Real-time monocular people tracking by sequential Monte-Carlo filtering
Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
Hi-index | 0.00 |
This work presents a new approach based on particle filtering to directly estimate the 3D positions of humans. Our system can predict occlusions due to other movements because we track humans in a 3D space, not on a 2D image plane. In addition, we introduce a 3D environmental model as the background model for tracking. This makes it easier to handle occlusions due to fixed objects in the environment. The 3D environmental model is automatically constructed by our original method from video sequences. Experiments show that our system is stable under occlusions due to the movements of both other subjects and fixed objects.