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» Probabilistic Measures for Motion Segmentation
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TITB
2010
197views Education» more  TITB 2010»
13 years 2 months ago
Detection of left ventricular motion abnormality via information measures and Bayesian filtering
We present an original information theoretic measure of heart motion based on the Shannon's differential entropy (SDE), which allows heart wall motion abnormality detection. B...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. ...
ICPR
2000
IEEE
14 years 8 months ago
Using Temporal Integration for Tracking Regions in Traffic Monitoring Sequences
This paper1 describes a method for tracking regions in image sequences. Regions segmented from each frame by a motion segmentation technique are matched by using a relaxation proc...
Filiberto Pla, Jorge Badenas, José M. Sanch...
ICRA
2010
IEEE
122views Robotics» more  ICRA 2010»
13 years 5 months ago
Motion estimation from range images in dynamic outdoor scenes
—Object-class independent motion estimation from range data is a challenging task. We present here a novel approach that is able to derive a dense motion field based on range im...
Frank Moosmann, Thierry Fraichard
ICIP
2001
IEEE
14 years 9 months ago
Metrics for performance evaluation of video object segmentation and tracking without ground-truth
We present metrics to evaluate the performance of video object segmentation and tracking methods quantitatively when groundtruth segmentation maps are not available. The proposed ...
Çigdem Eroglu Erdem, Bülent Sankur, A....
IEAAIE
1998
Springer
13 years 11 months ago
Applying Computer Vision Techniques to Traffic Monitoring Tasks
This paper presents a method I for tracking and segmenting vehicles in a traffic scene. The approach is based on a frame to frame segmentation followed by a tracking process. As op...
Jorge Badenas, Filiberto Pla