Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
We present a new method to robustly and efficiently analyze foreground when we detect background for a fixed camera view by using mixture of Gaussians models and multiple cues. Th...
We present a new approach to iteratively estimate both
high-quality depth map and alpha matte from a single image
or a video sequence. Scene depth, which is invariant
to illumin...
Jiejie Zhu (University of Kentucky), Miao Liao (Un...
Interactive digital matting, the process of extracting a foreground object from an image based on limited user input, is an important task in image and video editing. From a compu...
This paper presents a motion attention model that aims at analyzing gesture saliency using context-related information at three different levels. At the first level, motion feature...
Matei Mancas, Donald Glowinski, Gualtiero Volpe, P...