40 search results - page 4 / 8 » Time-focused clustering of trajectories of moving objects |
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
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 ...
PVLDB
2008
13 years 7 months ago
2008
Trajectory classification, i.e., model construction for predicting the class labels of moving objects based on their trajectories and other features, has many important, real-worl...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...