63 search results - page 4 / 13 » An Unsupervised, Online Learning Framework for Moving Object... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Lately there exist increasing demands for online abnormality monitoring over trajectory streams, which are obtained from moving object tracking devices. This problem is challengin...
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
2006
IEEE
14 years 9 months ago
2006
IEEE
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
NIPS
2001
13 years 9 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...