Building a feature-space for visual surveillance
Visual surveillance applications play essential roles as a tool for archiving and to some extend preventing criminal activities. The future of visual surveillance applications relies on the developments in the area of computer vision, human motion analysis and computer algorithms. This paper conside...
| Main Authors: | Altahir, A.A., Asirvadam, V.S. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32141 / |
| Published: |
IEEE Computer Society
2014
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337160&doi=10.1109%2fICIAS.2014.6869461&partnerID=40&md5=2b12994efd56869844f655281cae3d3a http://eprints.utp.edu.my/32141/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
utp-eprints.32141 |
|---|---|
| recordtype |
eprints |
| spelling |
utp-eprints.321412022-03-29T04:59:46Z Building a feature-space for visual surveillance Altahir, A.A. Asirvadam, V.S. Visual surveillance applications play essential roles as a tool for archiving and to some extend preventing criminal activities. The future of visual surveillance applications relies on the developments in the area of computer vision, human motion analysis and computer algorithms. This paper considers objects low level feature selection and extraction from video frames in order to construct a feature space for visual surveillance applications. Moreover, our paper explains the basic concept of feature extraction and the procedures required to extract these features. Constructing the feature space for surveillance applications is also touched through this paper based on a straightforward scenario of a single human walking. Finally, the paper illustrates the results of the extracted features. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337160&doi=10.1109%2fICIAS.2014.6869461&partnerID=40&md5=2b12994efd56869844f655281cae3d3a Altahir, A.A. and Asirvadam, V.S. (2014) Building a feature-space for visual surveillance. In: UNSPECIFIED. http://eprints.utp.edu.my/32141/ |
| institution |
Universiti Teknologi Petronas |
| collection |
UTP Institutional Repository |
| description |
Visual surveillance applications play essential roles as a tool for archiving and to some extend preventing criminal activities. The future of visual surveillance applications relies on the developments in the area of computer vision, human motion analysis and computer algorithms. This paper considers objects low level feature selection and extraction from video frames in order to construct a feature space for visual surveillance applications. Moreover, our paper explains the basic concept of feature extraction and the procedures required to extract these features. Constructing the feature space for surveillance applications is also touched through this paper based on a straightforward scenario of a single human walking. Finally, the paper illustrates the results of the extracted features. © 2014 IEEE. |
| format |
Conference or Workshop Item |
| author |
Altahir, A.A. Asirvadam, V.S. |
| spellingShingle |
Altahir, A.A. Asirvadam, V.S. Building a feature-space for visual surveillance |
| author_sort |
Altahir, A.A. |
| title |
Building a feature-space for visual surveillance |
| title_short |
Building a feature-space for visual surveillance |
| title_full |
Building a feature-space for visual surveillance |
| title_fullStr |
Building a feature-space for visual surveillance |
| title_full_unstemmed |
Building a feature-space for visual surveillance |
| title_sort |
building a feature-space for visual surveillance |
| publisher |
IEEE Computer Society |
| publishDate |
2014 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337160&doi=10.1109%2fICIAS.2014.6869461&partnerID=40&md5=2b12994efd56869844f655281cae3d3a http://eprints.utp.edu.my/32141/ |
| _version_ |
1741197692233580544 |
| score |
11.62408 |