Recent advances in computer vision and pattern recognition have fuelled numerous initiatives that aim to intelligently recognize human activities. In this paper, we propose an algo...
This paper presents an algorithm for capturing the motion of deformable surfaces, in particular textured cloth. In a calibrated multi-camera setup, the optical flow between consec...
In this paper, we propose an efficient method for tracking multiple objects, which deals with occlusion situations in an image. We use Shape from silhouettes method to reconstruct...
Koichiro Deguchi, Koji Hamasaki, Taira Nakajima, T...
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...