Publication Type : Journal Article
Publisher : International Journal of Engineering and Technology (IJET)
Source : International Journal of Engineering and Technology (IJET), Volume 5, Issue 3, p.3101-3108 (2013)
Url : https://www.semanticscholar.org/paper/Detection-of-Unauthorized-Human-Entity-in-Video-Radha-Amudha/89f2085a51f5728a2a66529c9ad7ae95d1712f75?p2df
Keywords : Video surveillance, Histogram, Key frame extraction, Visual Attention Model, Saliency map, Connected component, Aspect ratio.
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Center : Center for Computational Engineering and Networking
Department : Computer Science
Verified : Yes
Year : 2013
Abstract : With the ever growing need for video surveillance in various fields, it has become very important to automate the entire process in order to save time, cost and achieve accuracy. In this paper we propose a novel and rapid approach to detect unauthorized human entity for the video surveillance system. The approach is based on bottom-up visual attention model using extended Itti Koch saliency model. Our approach includes three modules- Key frame extraction module, Visual attention model module, Human detection module. This approach permits detection and separation of the unauthorized human entity with higher accuracy than the existing Itti Koch saliency model.
Cite this Research Publication : Radha D. and Amudha, J., Ramyasree P, Ravindran Ranju, Shalini S, “Detection of Unauthorized Human Entity in Surveillance Video”, International Journal of Engineering and Technology (IJET), vol. 5, no. 3, pp. 3101-3108, 2013.