25 search results - page 2 / 5 » Tracking Multiple Objects using Probability Hypothesis Densi... |
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
TSP
2010
12 years 11 months ago
2010
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
DICTA
2007
13 years 6 months ago
2007
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
WACV
2005
IEEE
13 years 10 months ago
2005
IEEE
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...