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

DC Field Value Language
dc.contributor.advisor김현진-
dc.contributor.author이중현-
dc.date.accessioned2017-07-14T03:37:23Z-
dc.date.available2017-07-14T03:37:23Z-
dc.date.issued2015-02-
dc.identifier.other000000026138-
dc.identifier.urihttp://hdl.handle.net/10371/123824-
dc.description학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2015. 2. 김현진.-
dc.description.abstractThis 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.-
dc.description.tableofcontents1 Introduction 1
1.1 Literature Review 1
1.2 Thesis Contribution 4
1.3 Thesis Outline 5
2 Experimental Setting 6
3 Acoustic Classification 8
3.1 Problem Formulation 8
3.2 Methodology 9
3.3 Feature Extraction and Reduction 10
3.4 Classification Algorithm 14
3.5 Experimental Results 15
4 Gaussian Process based Localization 18
4.1 Problem Formulation 18
4.2 Gaussian Process Regression 19
4.3 Experimental Results 20
5 Data Integration with Trace Labeling 22
5.1 Problem Formulation 22
5.2 Acoustic Signal Modeling 24
5.3 Acoustic Data Sampling 25
5.4 Trace Labeling 26
6 Conclusion 32
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dc.formatapplication/pdf-
dc.format.extent1981229 bytes-
dc.format.mediumapplication/pdf-
dc.language.isoen-
dc.publisher서울대학교 대학원-
dc.subjectMulti-target tracking-
dc.subjectacoustic classification-
dc.subjectWSNs-
dc.subjectSVM classifier-
dc.subject.ddc621-
dc.titleMulti-target classification and tracking using wireless sensor networks-
dc.title.alternative무선 센서 네트워크를 통한 다중 물체의 식별 및 위치추정-
dc.typeThesis-
dc.contributor.AlternativeAuthorLee Joonghyun-
dc.description.degreeMaster-
dc.citation.pagesv,36-
dc.contributor.affiliation공과대학 기계항공공학부-
dc.date.awarded2015-02-
Appears in Collections:
College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Theses (Master's Degree_기계항공공학부)
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