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WACV
2007
IEEE
14 years 5 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos
CVPR
2005
IEEE
15 years 26 days ago
Visual Tracking in the Presence of Motion Blur
We consider the problem of visual tracking of regions of interest in a sequence of motion blurred images. Traditional methods couple tracking with deblurring in order to correctly...
Hailin Jin, Paolo Favaro, Roberto Cipolla
PRL
2006
117views more  PRL 2006»
13 years 10 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
ICIP
2007
IEEE
15 years 16 days ago
A Novel Multi-Stage Motion Vector Processing Method for Motion Compensated Frame Interpolation
In this paper, a novel multi-stage motion vector processing algorithm at the decoder is proposed for motion compensated frame interpolation. We address the problems of discontinuo...
Ai-Mei Huang, Truong Nguyen
ICPR
2008
IEEE
15 years 1 days ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali