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» Object Detection using Background Context
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PAMI
2012
11 years 10 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
CSREAESA
2010
13 years 5 months ago
An Approach for Efficient Real Time Moving Object Detection
Moving object detection is essential for real-time surveillance; however, it is challenging to support moving object detection in a timely fashion due to the compute-intensive natu...
Arnab Roy, Sanket Shinde, Kyoung-Don Kang
ICIP
2004
IEEE
14 years 9 months ago
A fine-structure image/video quality measure using local statistics
An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, es...
Kyungnam Kim, Larry S. Davis
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 19 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICCV
2009
IEEE
13 years 5 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong