332 search results - page 8 / 67 » Unsupervised Learning of Object Features from Video Sequence... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
PAKDD
2009
ACM
14 years 1 days ago
2009
ACM
Abstract. Detecting abnormal event from video sequences is an important problem in computer vision and pattern recognition and a large number of algorithms have been devised to tac...
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
WAPCV
2007
Springer
14 years 1 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...