In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by occluded irises, motion and spatial blur, poor co...
Damon L. Woodard, Shrinivas J. Pundlik, Philip E. ...
We consider the problem of single image object motion deblurring from a static camera. It is well known that deblurring of moving objects using a traditional camera is ill-posed, d...
It is important in image restoration to remove noise while preserving meaningful detail such as blurred thin edges and low-contrast fine features. The existing edgepreserving smoo...
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...