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» Audio-Video Integration for Background Modelling
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ICASSP
2009
IEEE
15 years 6 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»
15 years 6 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»
13 years 7 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»
14 years 11 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
15 years 6 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