6533b7d7fe1ef96bd12685c6
RESEARCH PRODUCT
A System for Simultaneous People Tracking and Posture Recognition in the context of Human-Computer Interaction
Ignazio InfantinoHaris DindoAntonio Chellasubject
ExploitComputer sciencebusiness.industryPosture recognitionTrackingHuman Posture recognitionRoboticsFacial recognition systemMachine visionRobustness (computer science)Gesture recognitionPattern recognitionActivity recognitionEye trackingComputer visionHuman computer interactionCondensation algorithmArtificial intelligenceVisual trackingbusinessGesturedescription
The paper deals with an artificial-vision based system for simultaneous people tracking and posture recognition In the context of human-computer Interaction. We adopt no particular assumptions on the movement of a person and on Its appearance, making the system suitable to several real-world applications. The system can be roughly subdivided Into two highly correlated phases: tracking and recognition. The tracking phase Is concerned with establishing coherent relations of the same subject between frames. We adopted the Condensation algorithm due to Its robustness In highly cluttered environments. The recognition phase adopts a modified elgenspace technique In order to classify between several different human postures and permits to exploit a rich Interaction between a human user and a robotic system by means of a set of natural gestures. Experimental results have demonstrated the robustness of our system In different working conditions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2005-01-01 |