Abstract— Video surveillance systems have known significant growth because of the increased insecurity in these recent years. In order to reduce threats such as assaults, many cameras have invaded the public squares. The manual monitoring of these screens is tedious because of the large amount of information. So it is very interesting to automate this process from image processing systems able to extract the useful information from video sequences and interpret it. One of the most important tasks is the motion detection and estimation. This article aims to provide the status of art of the different techniques of motion detection estimation and segmentation based on movement. Many studies have been conducted on the subject and the literature is very abundant in this province, we are not trying to list all the existing methods. The idea is to give an overview of the most commonly used methods and to distinguish different types and approaches.
Index Terms— Motion detection, motion estimation, segmentation based on movement, video surveillance.
Amara Kahina is with CDTA, Advanced Technologies Development centre Baba Hassen.BP 17, Baba Hassen, Algiers, Algreria (e-mail: amara.kahina1988@yahoo.com).
Djekoune A. Oualid, Belhocine Mahmoud, and Achour Nouara are with Institute of Electronics and Computer Science, USTHB, University of Science and Technology Houari Boumediene BP32, USTHB, Bab Ezzouar, Algiers (e-mail: odjekoune@cdta.dz, mbelhocine@cdta.dz, noura.acchour@gmail.com).
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Cite: Amara Kahina, Djekoune A. Oualid, Belhocine Mahmoud, and Achour Nouara, " About Some Methods of Motion Detection and Estimation: A Review," International Journal of Information and Electronics Engineering vol. 4, no. 4, pp. 274-278, 2014.
