In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
This paper proposes a probabilistic search algorithm to boost the computational efficiency of face detection in video sequences. The algorithm sequentially predicts the probabili...
Atsushi Matsui, Simon Clippingdale, Takashi Matsum...
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
We present a system and a set of tools for producing special effects in film/video making by applying image processing and human centered computing techniques. A combination of s...
Chun-Hao Wang, Yongjin Wang, Meifeng Lian, Bruce E...
We present in this paper a technique for stylized reuse of view-dependent animation. We illustrate with an example, how can a unique animation be synthesized by reusing the view-d...