In this paper, we present an interactive object segmentation system form video, such as TV products and films, for converting 2D to 3D contents. It is focused on reducing the proce...
In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first intr...
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional...
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...