@inproceedings{scholars4948,
            note = {cited By 2; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042},
       publisher = {IEEE Computer Society},
             doi = {10.1109/ICIAS.2014.6869461},
         address = {Kuala Lumpur},
         journal = {2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings},
            year = {2014},
           title = {Building a feature-space for visual surveillance},
            isbn = {9781479946549},
          author = {Altahir, A. A. and Asirvadam, V. S.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906337160&doi=10.1109\%2fICIAS.2014.6869461&partnerID=40&md5=2b12994efd56869844f655281cae3d3a},
        abstract = {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. {\^A}{\copyright} 2014 IEEE.},
        keywords = {Algorithms; Feature extraction; Monitoring, Basic concepts; Criminal activities; Human motion analysis; Human motions; Human walking; Low-level feature selections; Surveillance applications; Visual surveillance, Security systems}
}