Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:A6
Session:
Number:A6-2
Fast Object Detection Method for Visual Surveillance
Hyo-Kak Kim, Suryanto , Dae-Hwan Kim, Dongni Zhang, Sung-Jea Ko,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
Most of the algorithms developed for object detection employ a background-subtraction technique which requires heavy computation. In this paper, we present a fast background-subtraction technique which can be readily applied to many existing object detection algorithms. The proposed technique consists of three parts: persistent background-subtraction, background-subtraction with nearby searching, and skipped background-subtraction. Experimental results show that the proposed technique can detect the moving objects effectively without any degradation of reliability.