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» Audio-Video Integration for Background Modelling
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ICASSP
2009
IEEE
14 years 2 months ago
A semi-supervised learning approach to online audio background detection
We present a framework for audio background modeling of complex and unstructured audio environments. The determination of background audio is important for understanding and predi...
Selina Chu, Shrikanth S. Narayanan, C.-C. Jay Kuo
ICMCS
2007
IEEE
124views Multimedia» more  ICMCS 2007»
14 years 1 months ago
Robust Video Object Segmentation Based on K-Means Background Clustering and Watershed in Ill-Conditioned Surveillance Systems
A robust video object segmentation algorithm for complex conditions in surveillance systems is proposed in this paper. This algorithm contains an unsupervised K-Means background c...
Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien
CORR
2012
Springer
204views Education» more  CORR 2012»
12 years 3 months ago
Ontologies for the Integration of Air Quality Models and 3D City Models
In the perspective of a sustainable urban planning, it is necessary to investigate cities in a holistic way and to accept surprises in the response of urban environments to a part...
Claudine Métral, Gilles Falquet, Kostas Kar...
CVIU
2007
121views more  CVIU 2007»
13 years 7 months ago
Background estimation under rapid gain change in thermal imagery
We consider detection of moving ground vehicles in airborne sequences recorded by a thermal sensor with automatic gain control, using an approach that integrates dense optic flow...
Hulya Yalcin, Robert T. Collins, Martial Hebert
ICPR
2008
IEEE
14 years 2 months ago
Double-edge-model based character stroke extraction from complex backgrounds
Global gray-level thresholding techniques such as Otsu’s method, and local gray-level thresholding techniques such as adaptive thresholding method are powerful in extracting cha...
Jing Yu, Lei Huang, Changping Liu