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» An Adaptive Gaussian Sum Algorithm for Radar Tracking
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VTC
2008
IEEE
113views Communications» more  VTC 2008»
15 years 3 months ago
V2V Communications in Automotive Multi-Sensor Multi-Target Tracking
—Today’s automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and l...
Matthias Röckl, Thomas Strang, Matthias Kranz
84
Voted
CVPR
2001
IEEE
15 years 11 months ago
Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking
In this paper we describe a statistical method for the integration of an unlimited number of cues within a deformable model framework. We treat each cue as a random variable, each...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
ICCV
2005
IEEE
15 years 11 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
82
Voted
CVPR
2003
IEEE
15 years 11 months ago
Mean-shift Blob Tracking through Scale Space
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift kernel is a crucial parameter, there is presently n...
Robert T. Collins
ICASSP
2009
IEEE
15 years 4 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...