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» Robust Gradual Scene Change Detection
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WACV
2005
IEEE
14 years 1 months ago
Multiplicative Background-Foreground Estimation Under Uncontrolled Illumination using Intrinsic Images
Instead of the conventional background and foreground definition, we propose a novel method that decomposes a scene into time-varying background and foreground intrinsic images. T...
Fatih Murat Porikli
ACIVS
2009
Springer
14 years 23 days ago
Vehicle Tracking Using Geometric Features
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an alg...
Francis Deboeverie, Kristof Teelen, Peter Veelaert...
ICCCN
2007
IEEE
14 years 2 months ago
Motion-based Background Modeling for Moving Object Detection on Moving Platforms
— A method to detect moving objects on non-stationary background is proposed. The concurrent motions of foreground and background pixels make it extremely difficult to maintain a...
Ming-Yu Shih, Yao-Jen Chang, Bwo-Chau Fu, Chingchu...
FGR
1998
IEEE
131views Biometrics» more  FGR 1998»
14 years 11 days ago
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
Colour cues were used to obtain robust detection and tracking of people in relatively unconstrained dynamic scenes. Gaussian mixture models were used to estimate probability densi...
Yogesh Raja, Stephen J. McKenna, Shaogang Gong
CVPR
2012
IEEE
11 years 10 months ago
Part-based multiple-person tracking with partial occlusion handling
Single camera-based multiple-person tracking is often hindered by difficulties such as occlusion and changes in appearance. In this paper, we address such problems by proposing a...
Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Han...