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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳家麟(Ja-Ling Wu) | |
| dc.contributor.author | Ping-Chieh Chang | en |
| dc.contributor.author | 張炳傑 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:13:45Z | - |
| dc.date.available | 2014-08-04 | |
| dc.date.copyright | 2009-08-04 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-07-29 | |
| dc.identifier.citation | 1 L.T. Kozlowski, J.E. Cutting, Recognizing the sex of a walker from dynamic point-light display, Percept. Psychophys. 21(6) 1977
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42436 | - |
| dc.description.abstract | 本篇論文研究的課題是，如何透過人類步態來進行性別辨識。這是一個十分重要但仍未完全解決的問題。在過程中，我們證明了使用GEI(Gait Energy Image)可以有效地描述從不同角度所觀察到的人類步態。並且，以GEI為特徵，我們透過幾個不同方法，建構了人類步態的角度辨識法，以及性別辨識法。最後透過實驗，顯示了依照我們所提出的方法所建構的系統，可以有效地將即時性別辨識應用於實際狀況中。 | zh_TW |
| dc.description.abstract | In this thesis, we investigate an important but understudied problem, gender classification from human gaits. And we have proved the ability of using GEI (Gait Energy Image) as a representation of human gait for arbitrary view angles. Using GEI as a discriminative feature, we constructed angle classifiers and gender classifiers from different approaches. Experiments have shown that our system achieved a good performance and is able to be applied to real-world application. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:13:45Z (GMT). No. of bitstreams: 1 ntu-98-R96944006-1.pdf: 1730933 bytes, checksum: b94f84ec149ddab02eb75e312d7d0f3e (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 中文摘要 ii
Abstract iii Chapter 1 Introduction 1 1.1 MOTIVATION 1 1.2 RELATED WORKS 3 1.2.1 Psychophysical Studies 3 1.2.2 Computational Approach to Gender Classification from Human Gait 5 1.2.3 Gait Energy Image 7 Chapter 2 Human Gait Modeling 13 Chapter 3 Angle Classification 19 3.1 ELEVEN-CLASS ANGLE CLASSIFICATION 19 3.2 FIVE-GROUP ANGLE CLASSIFICATION 26 Chapter 4 Gender Classification 28 4.1 FISHER-BOOSTING 28 4.2 ELEVEN-CLASS GENDER CLASSIFICATION 30 4.3 FIVE-GROUP GENDER CLASSIFICATION 33 Chapter 5 Experimental Results 35 5.1 SYSTEM OVERVIEW 35 5.2 ANGLE CLASSIFICATION + GENDER CLASSIFICATION 37 5.2.1 Eleven-Class Approach 37 5.2.2 Five-Group Approach 38 5.3 REAL-WORLD VIDEO TESTING 38 Chapter 6 Conclusion and Future Work 40 Reference 42 | |
| dc.language.iso | en | |
| dc.subject | 性別辨識 | zh_TW |
| dc.subject | 步態能量圖 | zh_TW |
| dc.subject | 線性判別分析 | zh_TW |
| dc.subject | 視覺監視系統 | zh_TW |
| dc.subject | 人類步態 | zh_TW |
| dc.subject | Visual Surveillance | en |
| dc.subject | Gender classification | en |
| dc.subject | Human Gait | en |
| dc.subject | GEI (Gait Energy Image) | en |
| dc.subject | LDA | en |
| dc.subject | Fisher-Boosting | en |
| dc.title | 基於人類步態之任意角度即時性別辨識 | zh_TW |
| dc.title | Real-time Gender Classification From Human Gait for Arbitrary View Angles | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 許永真(Yung-Jen Hsu),莊永裕(Yung-Yu Chuang),許秋婷(Chiou-Ting Hsu) | |
| dc.subject.keyword | 性別辨識,人類步態,步態能量圖,線性判別分析,視覺監視系統, | zh_TW |
| dc.subject.keyword | Gender classification,Human Gait,GEI (Gait Energy Image),LDA,Fisher-Boosting,Visual Surveillance, | en |
| dc.relation.page | 47 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-07-29 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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| ntu-98-1.pdf 未授權公開取用 | 1.69 MB | Adobe PDF |
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