25 search results - page 1 / 5 » Tracking Multiple Objects using Probability Hypothesis Densi... |
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) ...
ACCV
2007
Springer
13 years 10 months ago
2007
Springer
Object tracking with multiple cameras is more efficient than tracking with one camera. In this paper, we propose a multiple-camera multiple-object tracking system that can track 3D...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
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....