Human motion detection framework Suzaimah Bt Ramli

Author

Ramli, S.B. ; Ghazali, Kamarul Hawari B. ; Bin Mohd Ali, Muhammad Faiz ; Hisahuddin, Zakaria Hifzan B.

Author_Institution

Dept. of Comput. Sci., Univ. Pertahanan Nasional Malaysia, Kuala Lumpur, Malaysia

fYear

2011

fDate

27-28 June 2011

Firstpage

158

Lastpage

161

Abstract

Ordinary CCTV can only be used to record incidents if it occur. It works without preventing it and it is only useful to be an evidence for the investigation. The purpose of developing this project is as the earlier prevention to avoid crime by giving alert or feedback from the object that was detected from captured video. The captured video in this project will be convert into frame of images and being analyze by using MATLAB software that already consist all the techniques of image processing. The output of this project will be classified if there is any motion or not by using the value of total sum of pixel value from each image data. The classification is actually based on the threshold value. This project indirectly reduce weakness and careless of human guard observation as it give continuous 24-hour monitoring of surveillance video to alert security officers to an intruder potential.

Keywords

closed circuit television; image classification; image motion analysis; image sequences; object detection; security; video surveillance; CCTV recording; MATLAB software; alert system; human motion detection; image classification; image frame; image processing; intruder potential; object detection; security officers; video capture; video surveillance; Conferences; Histograms; Humans; Motion detection; Security; Surveillance; Human motion; Video surveillance;

fLanguage

English

Publisher

ieee

Conference_Titel

System Engineering and Technology (ICSET), 2011 IEEE International Conference on

Conference_Location

Shah Alam

Print_ISBN

978-1-4577-1256-2

Type

conf

DOI

10.1109/ICSEngT.2011.5993441

Filename

5993441