JNW
2006
13 years 4 months ago
2006
Tracking of mobile targets is an important application of sensor networks. This is a non-trivial problem as the increased accuracy of tracking results in an overall reduction in th...
JMM2
2006
13 years 4 months ago
2006
Abstract-- In this paper, we present a clustering-based tracking algorithm for tracking people (e.g. hand, head, eyeball, body, and lips). It is always a challenging task to track ...
CVPR
2009
IEEE
13 years 8 months ago
2009
IEEE
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...
HRI
2006
ACM
13 years 10 months ago
2006
ACM
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper proposes performance measures to evaluate object tracking algorithms using object labels and sizes.. The usefulness and effectiveness of the proposed evaluation measure...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we propose an F0 Frame Error (FFE) metric which combines Gross Pitch Error (GPE) and Voicing Decision Error (VDE) to objectively evaluate the performance of fundame...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Most object tracking approaches either assume that the number of objects is constant, or that information about object existence is provided by some external source. Here, we show...
ECCV
2002
Springer
14 years 6 months ago
2002
Springer
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...