Real-time human activity recognition
The traditional Closed-circuit Television (CCTV) system requires human to monitor the CCTV for 24/7 which is inefficient and costly. Therefore, there’s a need for a system which can recognize human activity effectively in real-time. This paper concentrates on recognizing simple activity such as w...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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IOP Publishing
2017
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| Online Access: | http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/1/62903%20Real-time%20Human%20Activity%20Recognition.pdf http://irep.iium.edu.my/62903/2/62903%20Real-time%20Human%20Activity%20Recognition%20SCOPUS.pdf |
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iium-62903 |
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eprints |
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iium-629032018-06-26T08:09:40Z http://irep.iium.edu.my/62903/ Real-time human activity recognition Albukhary, N. Mohd. Mustafah, Yasir T Technology (General) The traditional Closed-circuit Television (CCTV) system requires human to monitor the CCTV for 24/7 which is inefficient and costly. Therefore, there’s a need for a system which can recognize human activity effectively in real-time. This paper concentrates on recognizing simple activity such as walking, running, sitting, standing and landing by using image processing techniques. Firstly, object detection is done by using background subtraction to detect moving object. Then, object tracking and object classification are constructed so that different person can be differentiated by using feature detection. Geometrical attributes of tracked object, which are centroid and aspect ratio of identified tracked are manipulated so that simple activity can be detected. IOP Publishing 2017-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62903/1/62903%20Real-time%20Human%20Activity%20Recognition.pdf application/pdf en http://irep.iium.edu.my/62903/2/62903%20Real-time%20Human%20Activity%20Recognition%20SCOPUS.pdf Albukhary, N. and Mohd. Mustafah, Yasir (2017) Real-time human activity recognition. In: 6th International Conference on Mechatronics - ICOM'17, 8th–9th August 2017, Kuala Lumpur, Malaysia. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012017/pdf 10.1088/1757-899X/260/1/012017 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Albukhary, N. Mohd. Mustafah, Yasir Real-time human activity recognition |
| description |
The traditional Closed-circuit Television (CCTV) system requires human to monitor
the CCTV for 24/7 which is inefficient and costly. Therefore, there’s a need for a system which
can recognize human activity effectively in real-time. This paper concentrates on recognizing
simple activity such as walking, running, sitting, standing and landing by using image processing
techniques. Firstly, object detection is done by using background subtraction to detect moving
object. Then, object tracking and object classification are constructed so that different person
can be differentiated by using feature detection. Geometrical attributes of tracked object, which
are centroid and aspect ratio of identified tracked are manipulated so that simple activity can be
detected. |
| format |
Conference or Workshop Item |
| author |
Albukhary, N. Mohd. Mustafah, Yasir |
| author_facet |
Albukhary, N. Mohd. Mustafah, Yasir |
| author_sort |
Albukhary, N. |
| title |
Real-time human activity recognition |
| title_short |
Real-time human activity recognition |
| title_full |
Real-time human activity recognition |
| title_fullStr |
Real-time human activity recognition |
| title_full_unstemmed |
Real-time human activity recognition |
| title_sort |
real-time human activity recognition |
| publisher |
IOP Publishing |
| publishDate |
2017 |
| url |
http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/ http://irep.iium.edu.my/62903/1/62903%20Real-time%20Human%20Activity%20Recognition.pdf http://irep.iium.edu.my/62903/2/62903%20Real-time%20Human%20Activity%20Recognition%20SCOPUS.pdf |
| first_indexed |
2023-09-18T21:29:08Z |
| last_indexed |
2023-09-18T21:29:08Z |
| _version_ |
1777412392225865728 |