A new feature extraction technique for person identification
Cataloged from PDF version of thesis report.
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| Формат: | Дисертація |
| Мова: | English |
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BRAC University
2018
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| Онлайн доступ: | http://hdl.handle.net/10361/9040 |
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10361-9040 |
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10361-90402022-01-26T10:21:55Z A new feature extraction technique for person identification Muazzam, Shakib Ali, Tahsin Mohammad Shuvo, Md. Mehedi Hasan Kaisar, Nabid Uddin, Dr. Jia Department of Computer Science and Engineering, BRAC University Microsoft Kinect V1.0. Human structure identification Cataloged from PDF version of thesis report. Includes bibliographical references (pages 21-22). This thesis report is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. This paper proposes a one of a kind model of human distinguishing proof by which we can supplant the persevering work of individuals if there should arise an occurrence of security. Our technique is for the most part in view of human structure identification and face detection with Microsoft Kinect V1.0. With a specific end goal to apply our approach, 6 points of 20 in body structure and 26 points out of 121 in face detection is taken as input. These points are X, Y, Z coordinates outputted by Kinect skeletal and facial followingoutput by Kinect skeletal and facial tracking. 16 unique distances are then calculated by the Euclidean distance formula using the coordinates. These are the selective components extracted from each user and afterward put in a database. At long last, by coordinating calculation our framework distinguishes known or obscure users progressively. Final output is then given as a result with aptitude and noteworthy precision. Shakib Muazzam Tahsin Mohammad Ali Md. Mehedi Hasan Shuvo Nabid Kaisar B. Computer Science and Engineering 2018-01-14T06:02:35Z 2018-01-14T06:02:35Z 2017 4/18/2017 Thesis ID 13101074 ID 12241002 ID 12101071 ID 13101011 http://hdl.handle.net/10361/9040 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 22 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Microsoft Kinect V1.0. Human structure identification |
| spellingShingle |
Microsoft Kinect V1.0. Human structure identification Muazzam, Shakib Ali, Tahsin Mohammad Shuvo, Md. Mehedi Hasan Kaisar, Nabid A new feature extraction technique for person identification |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Dr. Jia |
| author_facet |
Uddin, Dr. Jia Muazzam, Shakib Ali, Tahsin Mohammad Shuvo, Md. Mehedi Hasan Kaisar, Nabid |
| format |
Thesis |
| author |
Muazzam, Shakib Ali, Tahsin Mohammad Shuvo, Md. Mehedi Hasan Kaisar, Nabid |
| author_sort |
Muazzam, Shakib |
| title |
A new feature extraction technique for person identification |
| title_short |
A new feature extraction technique for person identification |
| title_full |
A new feature extraction technique for person identification |
| title_fullStr |
A new feature extraction technique for person identification |
| title_full_unstemmed |
A new feature extraction technique for person identification |
| title_sort |
new feature extraction technique for person identification |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/9040 |
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