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» Learning to Detect Moving Shadows in Dynamic Environments
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PAMI
2008
302views more  PAMI 2008»
11 years 5 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
11 years 11 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
12 years 11 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
ICASSP
2011
IEEE
10 years 9 months ago
Detecting moving objects from dynamic background with shadow removal
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...
Shih-Chieh Wang, Te-Feng Su, Shang-Hong Lai
TOG
2002
160views more  TOG 2002»
11 years 5 months ago
Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments
We present a new, real-time method for rendering diffuse and glossy objects in low-frequency lighting environments that captures soft shadows, interreflections, and caustics. As a...
Peter-Pike J. Sloan, Jan Kautz, John Snyder
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