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» Moving Shadow and Object Detection in Traffic Scenes
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ICCV
2001
IEEE
14 years 9 months ago
A Background Model Initialization Algorithm for Video Surveillance
Many motion detection and tracking algorithms rely on the process of background subtraction, a technique which detects changes from a model of the background scene. We present a n...
Daniel Gutchess, Miroslav Trajkovic, Eric Cohen-So...
ICIP
2008
IEEE
14 years 2 months ago
Dynamic background modeling and subtraction using spatio-temporal local binary patterns
Traditional background modeling and subtraction methods have a strong assumption that the scenes are of static structures with limited perturbation. These methods will perform poo...
Shengping Zhang, Hongxun Yao, Shaohui Liu
TROB
2008
118views more  TROB 2008»
13 years 7 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
IPAS
2008
13 years 10 months ago
Automatic determination of runway edges in poor visibility conditions
The automatic detection of runway hazards from a moving platform under poor visibility conditions is a multifaceted problem. The general approach that we use relies on looking at ...
Sri Satya Vardhan Gogineni, Zia-ur Rahman
WACV
2007
IEEE
14 years 1 months ago
Motion Estimation Using a General Purpose Neural Network Simulator for Visual Attention
Motion detection and estimation is a first step in the much larger framework of attending to visual motion based on Selective Tuning Model of Visual Attention [1]. In order to be ...
Florentin Dorian Vintila, John K. Tsotsos