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CVPR
2004
IEEE
16 years 9 months ago
Video Repairing: Inference of Foreground and Background under Severe Occlusion
In this paper, we propose a new method, video repairing, to robustly infer missing static background and moving foreground due to severe damage or occlusion from a video. To recov...
Jiaya Jia, Tai-Pang Wu, Yu-Wing Tai, Chi-Keung Tan...
193
Voted
CVPR
2006
IEEE
16 years 9 months ago
Dynamics Based Robust Motion Segmentation
In this paper we consider the problem of segmenting multiple rigid motions using multi?frame point correspondence data. The main idea of the method is to group points according to...
Roberto Lublinerman, Mario Sznaier, Octavia I. Cam...
CVPR
2006
IEEE
16 years 9 months ago
Incremental learning of object detectors using a visual shape alphabet
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
Andreas Opelt, Axel Pinz, Andrew Zisserman
190
Voted
CVPR
2007
IEEE
16 years 9 months ago
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis
This paper proposes a framework in which Lagrangian Particle Dynamics is used for the segmentation of high density crowd flows and detection of flow instabilities. For this purpos...
Saad Ali, Mubarak Shah
197
Voted
CVPR
2007
IEEE
16 years 9 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
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