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Title of Journal: Artif Life Robotics

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Abbravation: Artificial Life and Robotics

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Springer Japan

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DOI

10.1007/978-3-642-58515-9

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ISSN

1614-7456

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Extracting mobile objects by sequential background

Authors: Yasuaki Sakai Makoto Miyoshi Joo Kooi Tan Seiji Ishikawa
Publish Date: 2008/12/14
Volume: 13, Issue: 1, Pages: 302-305
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Abstract

This paper describes a technique for extracting moving objects from a video image sequence taken by a slowly moving camera as well as a fixed camera The background subtraction method is effective for extracting moving objects from a video But the latest background image should be employed for the subtraction in the mobile camera case and in order not to be influenced by the light intensity change A temporal median technique is proposed in this paper which detects the background at every moment The camera motion is estimated using a local correlation map and the temporal median filter is applied to the common image area among a set of successive image frames to extract the background The technique was applied to the video images obtained at a junction from a handheld camera and those taken at a pedestrians crossing by a camera fixed in a car and successfully detected pedestrians


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