A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
This paper proposes a new approach to track a human head in 3-D voxel space. Information of both color and distance is obtained from multiple stereo cameras and integrated in 3-D ...
We present an approach for recognizing human walking movements using low-level motion regularities and constraints. Biomechanical features for classification are automatically ext...
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple ...
Abstract. We present a framework and algorithm for tracking articulated motion for humans. We use multiple calibrated cameras and an articulated human shape model. Tracking is perf...