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» Extraction and Clustering of Motion Trajectories in Video
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ICIAP
2007
ACM
14 years 8 months ago
SIFT Features Tracking for Video Stabilization
This paper presents a video stabilization algorithm based on the extraction and tracking of Scale Invariant Feature Transform features through video frames. Implementation of SIFT...
Sebastiano Battiato, Giovanni Gallo, Giovanni Pugl...
ICCV
2011
IEEE
12 years 8 months ago
Object Segmentation in Video: A Hierarchical Variational Approach for Turning Point Trajectories into Dense Regions
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
Peter Ochs, Thomas Brox
TCSV
2010
13 years 3 months ago
Efficient Video Quality Assessment Along Temporal Trajectories
We propose a new video quality assessment (VQA) algorithm--the motion compensated structural similarity index-that assesses not only spatial quality but also quality along temporal...
Anush K. Moorthy, Alan Conrad Bovik
ICCV
2009
IEEE
15 years 1 months ago
Correlated Probabilistic Trajectories for Pedestrian Motion Detection
This paper introduces an algorithm for detecting walking motion using point trajectories in video sequences. Given a number of point trajectories, we identify those which are sp...
Frank Perbet, Atsuto Maki, Bjorn Stenger
CVPR
2012
IEEE
11 years 11 months ago
Higher order motion models and spectral clustering
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
Peter Ochs, Thomas Brox