The issue of the actual mechanism for the visual and computational perception of motion in the human are keep grow for the last decade. Each researcher is keep pursuit to find the ideal potion of a robust recognition and detection for video system. Thus, an Automated Video Surveillance system or "ANGSA"is presented in this paper. The "ANGSA" system aims to track an object in motion and classifying it as a human or non-human entity, which would help in subsequent human activity analysis. The system employs a simple method for Human Detection in Surveillance (HDS) System. The HDS system incorporates a color based human detector which is well known for its performance in detecting humans in stationary images. Detailed analysis is carried out on the performance of the system on various test videos. At the end of the study human face successfully to be detected accurately depends on the distance between monitoring camera and the stranger. © 2011 Published by Elsevier Ltd.
Junoh, A. K., Mansor, N., Muhamad, W. Z. A. W., Abu, S., Jaafar, W. N. W., & Yaacob, S. (2012). Bandit detection using color detection method. In Procedia Engineering (Vol. 29, pp. 1259–1263). https://doi.org/10.1016/j.proeng.2012.01.123