Tracking without Background Model for Time-of-Flight Cameras
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Evaluation of a Foreground Segmentation Algorithm for 3D Camera Sensors
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A case study in distributed deployment of embedded software for camera networks
Proceedings of the Conference on Design, Automation and Test in Europe
Multi-modal time-of-flight based fire detection
Multimedia Tools and Applications
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Visually track several moving persons engaged in close interactions is known to be a very hard problem, though 3-D approaches based on stereo vision and plan-view maps offer much promise for dealing effectively with major issues such as occlusions and quick changes in body pose and appearance. However, in case of untextured scenes due to homogeneous objects or poor illumination, stereo-based tracking systems rapidly drop their performance. In this work, we present a real time people tracking system able to work even under severe low-lighting conditions. The system relies on a novel active sensor that provides brightness and depth images based on a Time of Flight (TOF) technology. The tracking algorithm is simple yet efficient, being based on geometrical constraints and invariants. Experiments accomplished under changing lighting conditions and involving multiple people closely interacting with each other have proved the reliability of the system.