Einstein International Journal Organization(EIJO)

ABSTRACT

Object detection and monitoring is important in the field of video processing. The growing need for automated video analysis has monitored generates a great interest in the algorithms. The frame extraction, background estimation and detection of objects on the first floor: The incoming video clip is analyzed in three main phases. The use of object tracking and counting; basically cars; It is important for traffic monitoring tasks. Traffic monitoring is important to steer traffic to control the density of traffic counting and traffic rules at traffic lights. In this paper, we have to avoid a technique human surveillance and automate the monitoring system. This system avoids the need to have an image of the background traffic. For a given input video signals frames are extracted. Selected images will be used to estimate the background. The background image is subtracted from each input video frame and the foreground object is obtained. After the post-processing technique, the count is performed [1].
Keywords: Background estimation, Background subtraction, Car tracking, Frame difference, Object counting, Object detection, foreground detection.

[1]. Jun Yee Ng, Yong Haur Tay “Image-based Vehicle Classification System”11th Asia-Pacific ITS Forum & Exhibition, June 2011.
[2].Saroj K.Meher, M.N.Murty“Efficient Method Of Moving Shadow Detection and Vehicle Classification”International Journal of Electronics and Communication(AEU),665-670,2013 .
[3]. R. Chellappa “Vehicle detection and tracking using acoustic and video sensors”, 2011.