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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 2, FEBRUARY 2016

Night Vision Motion Estimation: A Survey

Patel Ami M., Assi. Prof. Swapna J Jadhav

DOI: 10.17148/IJARCCE.2016.5267

Abstract: Video Surveillance during night is important as far as security is concerned these days. The current technologies require RFIDs which are costly and hence the security domains in all become expensive. This paper describes the use of low cost single board computer Raspberry Pi which follows motion detection algorithm written in python as a default programming environment. It aims to present a review of various block matching algorithms used for night vision motion estimation. Developing a system which captures real time images and transmit it via a 3G Dongle to a Smart phone through e-mail. The algorithm for motion detection is being implemented on raspberry pi which enables live video streaming along with the human detection. The advantages and disadvantages of the algorithms are mentioned in this paper. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in security.



Keywords: Video Surveillance, Raspberry Pi, Image thresholding, Motion detection, Block matching, Motion vector.

How to Cite:

[1] Patel Ami M., Assi. Prof. Swapna J Jadhav, “Night Vision Motion Estimation: A Survey,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5267