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A Study on Improving the Adaptive Background Method for Outdoor CCTV Object Tracking System
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논문 기본 정보

Type
Academic journal
Author
Do-Wook Jung (Soongsil University) Hyung-Il Choi (Soongsil University)
Journal
The Korean Society Of Computer And Information Journal of the Korea Society of Computer and Information Vol.20 No.7 KCI Accredited Journals
Published
2015.7
Pages
17 - 24 (8page)

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A Study on Improving the Adaptive Background Method for Outdoor CCTV Object Tracking System
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Abstract· Keywords

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In this paper, we propose a method to solve ghosting problem. To generate adaptive background, using an exponentially decreasing number of frames, may improve object detection performance. To extract moving objects from the background by using a differential image, detection error may be caused by object rotations or environmental changes. A ghosting problem can be issue-driven when there are outdoor environmental changes and moving objects. We studied that a differential image by adaptive background may reduce the ghosting problem. In experimental results, we test that our method can solve the ghosting problem.

Contents

Abstract
Ⅰ. Introduction
Ⅱ. Object detection and tracking
Ⅲ. Experiment
Ⅳ. Conclusion
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UCI(KEPA) : I410-ECN-0101-2016-325-001888814