Human gait recognition system
Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to sum...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Kulliyyah of Engineering, International Islamic University Malaysia
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf |
| id |
iium-68115 |
|---|---|
| recordtype |
eprints |
| spelling |
iium-681152019-01-19T11:25:52Z http://irep.iium.edu.my/68115/ Human gait recognition system Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj T10.5 Communication of technical information Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to summarize the research and related work done in the past on human gait recognition system and to solve algorithms which helps in identify walking subject from distance without any permission and interference of the walking subject. This can be achieved by making a database in which we record a video of the subject from a camera and then converting the video into frames of still images and later applying feature extraction techniques to get the silhouettes and training the silhouettes with principal component analysis. The input images are then matched with the one that already exist in the database used to identify walking subject. Kulliyyah of Engineering, International Islamic University Malaysia 2018-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf application/pdf en http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf Jawed, Bilal and Khalifa, Othman Omran and Bhuiyan, Sharif Shah Newaj (2018) Human gait recognition system. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE), 19th-20th September 2018, Kuala Lumpur. https://ieeexplore.ieee.org/document/8539245 10.1109/ICCCE.2018.8539245 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T10.5 Communication of technical information |
| spellingShingle |
T10.5 Communication of technical information Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj Human gait recognition system |
| description |
Biometric identification like fingerprints, retina, palm and voice recognition needs subject’s permission and physical attention, but Human Gait recognition works on the gait of walking subjects to identify people without them knowing or without their permission. The purpose of this report is to summarize the research and related work done in the past on human gait recognition system and to solve algorithms which helps in identify walking subject from distance without any permission and interference of the walking subject. This can be achieved by making a database in which we record a video of the subject from a camera and then converting the video into frames of still images and later applying feature extraction techniques to get the silhouettes and training the silhouettes with principal component analysis. The input images are then matched with the one that already exist in the database used to identify walking subject. |
| format |
Conference or Workshop Item |
| author |
Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj |
| author_facet |
Jawed, Bilal Khalifa, Othman Omran Bhuiyan, Sharif Shah Newaj |
| author_sort |
Jawed, Bilal |
| title |
Human gait recognition system |
| title_short |
Human gait recognition system |
| title_full |
Human gait recognition system |
| title_fullStr |
Human gait recognition system |
| title_full_unstemmed |
Human gait recognition system |
| title_sort |
human gait recognition system |
| publisher |
Kulliyyah of Engineering, International Islamic University Malaysia |
| publishDate |
2018 |
| url |
http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/ http://irep.iium.edu.my/68115/1/68115_Human%20Gait%20Recognition%20System.pdf http://irep.iium.edu.my/68115/7/68115_Human%20gait%20recognition%20system_SCOPUS.pdf |
| first_indexed |
2023-09-18T21:36:41Z |
| last_indexed |
2023-09-18T21:36:41Z |
| _version_ |
1777412867280076800 |