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ViSE: Visual Search Engine Using Multiple Networked Cameras

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ViSE: Visual Search Engine Using Multiple Networked Cameras
We propose a Visual Search Engine (ViSE) as a semi-automatic component in a surveillance system using networked cameras. The ViSE aims to assist the monitoring operation of huge amounts of captured video streams, which tracks and finds people in the video based on their primitive features with the interaction of a human operator. We address the issues of object detection and tracking, shadow suppression and color-based recognition for the proposed system. The experimental results on a set of video data with ten subjects showed that ViSE retrieves correct candidates with 83% recall at 83% precision.
Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Nori
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2006
Where ICPR
Authors Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Norihiro Hagita, Unsang Park
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