Abstract—The study focuses on detecting motion and capable of emitting insignificant parts of video from the captured frames from IP Camera and enhancing available data storage. This study embarks a system that is capable of minimizing the video in terms of eliminating frames which can’t be used or are any of value to maximize the data storage available. Using the experimental method of research, the researchers evaluated the system based on the result of the experiments with regards to the scope and limitation of the problem and they assessed the accuracy of the system as highly acceptable. Implementing genetic algorithm helps the system to accurately detect motion and therefore optimize the data storage.

Index Terms—Genetic algorithm, data storage optimization motion detection, surveillance system.

The authors are with Department of Computer Science, College of Computer and Information Sciences, Polytechnic University of the Philippines, Mabini Campus, Sta. Mesa, Manila, Philippines (e-mail: johncarlo.butil@gmail.com, ma.leifrancesmagsisi@yahoo.com.ph, johnhartpua@gmail.com, seprincekevin@yahoo.com, riasagum@pup.edu.ph).

Cite:John Carlo M. Butil, Ma Lei Frances Magsisi, John Hart Pua, Prince Kevin Se, and Ria Sagum, "The Application of Genetic Algorithm in Motion Detection for Data Storage Optimization," International Journal of Computer and Communication Engineering vol. 3, no. 3, pp. 199-202, 2014.