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» Adaptive Background Estimation for Object Tracking
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ICIP
2007
IEEE
13 years 11 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
PCM
2004
Springer
326views Multimedia» more  PCM 2004»
13 years 10 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...
WACV
2005
IEEE
13 years 11 months ago
Incorporating Object Tracking Feedback into Background Maintenance Framework
Adaptive background modeling/subtraction techniques are popular, in particular, because they are able to cope with background variations that are due to lighting variations. Unfor...
Leonid Taycher, John W. Fisher III, Trevor Darrell
ICPR
2008
IEEE
13 years 11 months ago
Orientation and scale invariant mean shift using object mask-based kernel
In this paper, we propose a new method for object tracking based on mean shift algorithm using a kernel which has the shape of the target object, and with probabilistic estimation...
Kwang Moo Yi, Ho Seok Ahn, Jin Young Choi
GI
2007
Springer
13 years 11 months ago
Background Modeling Using Adaptive Cluster Density Estimation for Automatic Human Detection
: Detection is an inherent part of every advanced automatic tracking system. In this work we focus on automatic detection of humans by enhanced background subtraction. Background s...
Harish Bhaskar, Lyudmila Mihaylova, Simon Maskell