104 search results - page 11 / 21 » Simultaneous clustering and tracking unknown number of objec... |
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Most clustering algorithms operate by optimizing (either implicitly or explicitly) a single measure of cluster solution quality. Such methods may perform well on some data sets bu...
PR
2010
13 years 6 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...