Abstract This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape model of a person to be tracked and create a posture dictionary consisting of many posture examples. The posture is estimated by hierarchically matching silhouettes generated by projecting the 3D shape model deformed to have the dictionary poses onto the image plane with the observed silhouette in the current image. Based on this method, we have developed a virtual fashion show system that renders a computer graphics-model moving synchronously to a real fashion model, but wearing different clothes.
Virtual Fashion Show Using Real-Time Markerless Motion Capture
Computer Vision – ACCV 2006 ; 7 ; 801-810
Lecture Notes in Computer Science ; 3852 , 7
2006-01-01
10 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Motion Capture , Posture Estimation , Motion Capture System , Target Person , Candidate Posture Computer Science , Image Processing and Computer Vision , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
Virtual Fashion Show Using Real-Time Markerless Motion Capture
British Library Conference Proceedings | 2006
|Markerless Monocular Motion Capture Using Image Features and Physical Constraints
British Library Conference Proceedings | 2005
|Markerless Kinematic Model and Motion Capture from Volume Sequences
British Library Conference Proceedings | 2003
|