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Multi-target classification and tracking using wireless sensor networks
무선 센서 네트워크를 통한 다중 물체의 식별 및 위치추정

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Authors
이중현
Advisor
김현진
Major
공과대학 기계항공공학부
Issue Date
2015-02
Publisher
서울대학교 대학원
Keywords
Multi-target trackingacoustic classificationWSNsSVM classifier
Description
학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2015. 2. 김현진.
Abstract
This thesis presents an acoustic classification and multi-sensor tracking algorithm with WSNs for multiple targets is suggested. The goal for this study is to classify and track the traces of moving multi-targets with their acoustic characteristics and received signal strength indicator. The thesis includes unique method to select features from the raw acoustic signal which contains both time and frequency domain analysis. For localization, Gaussian process based algorithm for estimating unidentified traces from received signal strength indicator is presented. In addition, the unique method for labeling unidentified traces with appropriate target is introduced. By using suggested algorithm, the classifier shows more accurate and faster responding performance than the classifiers which use only frequency domain input. Experimental results with show the satisfactory performance of the proposed algorithm.
Language
English
URI
http://hdl.handle.net/10371/123824
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Theses (Master's Degree_기계항공공학부)
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