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» Motion blur identification from image gradients
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ICCV
2001
IEEE
14 years 8 months ago
Gradient Vector Flow Fast Geodesic Active Contours
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is r...
Nikos Paragios, Olivier Mellina-Gottardo, Visvanat...
CRV
2009
IEEE
217views Robotics» more  CRV 2009»
14 years 1 months ago
Probabilistic 3D Tracking: Rollator Users' Leg Pose from Coronal Images
Understanding the human gait is an important objective towards improving elderly mobility. In turn, gait analyses largely depend on kinematic and dynamic measurements. While the m...
Samantha Ng, Adel H. Fakih, Adam Fourney, Pascal P...
ECCV
2010
Springer
13 years 4 months ago
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection
Abstract. This paper presents a novel descriptor for human detection in video sequence. It is referred to as spatial-temporal granularity -tunable gradients partition (STGGP), whic...
Yazhou Liu, Shiguang Shan, Xilin Chen, Janne Heikk...
ICIP
2004
IEEE
14 years 8 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
CVPR
2009
IEEE
1724views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Optimal Single Image Capture for Motion Deblurring
Deblurring images of moving objects captured from a traditional camera is an ill-posed problem due to the loss of high spatial frequencies in the captured images. Recent techniques...
Amit K. Agrawal, Ramesh Raskar