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» Robust evidence-based object tracking
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JRTIP
2007
112views more  JRTIP 2007»
13 years 10 months ago
Robust real-time tracking by fusing measurements from inertial and vision sensors
Abstract The problem of estimating and predicting position and orientation (pose) of a camera is approached by fusing measurements from inertial sensors (accelerometers and rate gy...
Jeroen D. Hol, Thomas B. Schön, Henk Luinge, ...
AMDO
2004
Springer
14 years 3 months ago
Image Cues Fusion for Object Tracking Based on Particle Filter
Particle filter is a powerful algorithm to deal with non-linear and non-Gaussian tracking problems. However the algorithm relying only upon one image cue often fails in challengin...
Peihua Li, François Chaumette
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
14 years 3 months ago
Automatic Video Object Tracking Using a Mosaic-Based Background
In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosa...
Young-Kee Jung, Kyu-Won Lee, Dong-Min Woo, Yo-Sung...
IEEEMSP
2002
IEEE
137views Multimedia» more  IEEEMSP 2002»
14 years 2 months ago
Realtime object extraction and tracking with an active camera using image mosaics
—Moving object extraction plays a key role in applications such as object-based videoconference, surveillance, and so on. The difficulties of moving object segmentation lie in th...
Chia-Wen Lin, Chih-Ming Wang, Yao-Jen Chang, Yung-...
ICIP
2009
IEEE
13 years 7 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell