N Kiaee - Department of computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
E Hashemizadeh - Department of Mathematic, Karaj Branch, Islamic Azad University, Karaj, Iran
N Zarrinpanjeh - Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

In recent years, automated analysis systems have been developed to detect and classify moving objects in a variety of applications. This issue is one of the important issues in image processing and machine vision. Generally, each visual system needs to segment the corresponding areas of moving object. Displaying the location of an object, looking at it in a sequence of video images and categorizing objects with desirable precision has been used more than ever before for a specific purpose. The overall process of these issues consists of three main steps of detection, feature extraction, and classification of moving objects. Object detection is used in the field of computer vision due video surveillance, traffic monitoring, vehicle navigation, robotics, 3D reconstruction and content based indexing and retrieval. This paper presents a brief survey of different object detectionand object classification algorithms available in the literature and comparative study of different methods, which is used for object detection, and object classification

Object Detection, Object Classification, Video Surveillance, Background estimation