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» Likelihood Map Fusion for Visual Object Tracking
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ICIP
2009
IEEE
14 years 8 months ago
M2sir: A Multi Modal Sequential Importance Resampling Algorithm For Particle Filters
We present a multi modal sequential importance resampling particle filter algorithm for object tracking. We consider a hidden state sequence linked to several observation sequence...
ICRA
2009
IEEE
167views Robotics» more  ICRA 2009»
14 years 2 months ago
Articulated object tracking by rendering consistent appearance parts
— We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination wit...
Zachary A. Pezzementi, Sandrine Voros, Gregory D. ...
ECCV
2004
Springer
14 years 28 days ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...
FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
12 years 11 months ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez
GI
2009
Springer
13 years 5 months ago
Fusion of IR/CCD Video Streams and Digital Terrain Models for Multi Target Tracking
: Video Streams of optical camera system are analysed by a video processing software which detects moving objects in the video. They are presented in image pixel coordinates. With ...
Kaeye Dästner, Bastian Köhler, Felix Opi...