11 search results - page 1 / 3 » Tracking a Variable Number of Human Groups in Video Using Pr... |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
ICMCS
2007
IEEE
13 years 10 months ago
2007
IEEE
Most methods for multiple object tracking in video represent the state of multi-objects in a high dimensional joint state space. This leads to high computational complexity. This ...
TSP
2011
12 years 11 months ago
2011
Abstract—Mapping stationary objects is essential for autonomous vehicles and many autonomous functions in vehicles. In this contribution the probability hypothesis density (PHD) ...
TIP
2002
13 years 4 months ago
2002
In this paper, a generic approach to simultaneous tracking and verification in video data is presented. The approach is based on posterior density estimation using sequential Monte...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...