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Motion Detection Webcam Using Color Contrast

Mohammed Imad Abdulsattar Aal-Nouman*

Department of Information and Communications, College of Information Engineering, Nahrian University, Iraq-Baghdad.

Periodicity:October - December'2011
DOI : https://doi.org/10.26634/jse.6.2.2892

Abstract

There are two reasons for creating a motion detecting algorithm; either the result is intended for technical applications, or it is intended as a biological model. Depending on which of these two goals one has in mind, the outcome will be different. For a technical application, speed and reliability are crucial aspects. For biological models, the focus is not so much on speed as on biological realism [2]. The model presented in this paper belongs to technical application so the resolution considerations have not been taken into account. Even so the system has a resolution up to 640 x 480. The proposed project in this paper uses a webcam to record the video stream, take a snap shot - if there is a movement- and then send it to the user's email. The motion detection can be found by calculating the difference in picture color with the next picture for each pixel.

Keywords

Motion Detection, Tracking Object, Color Differences, Image Processing, Software Engineering, Computer Engineering Interface with Camera.

How to Cite this Article?

Mohammed Imad Abdulsattar Aal-Nouman (2011). Motion Detection Webcam using Color Contrast. i-manager’s Journal on Software Engineering, 6(2), 9-14. https://doi.org/10.26634/jse.6.2.2892

References

[1.] Radke, R.J., Andra, S., Al-Kofahi, O., & Roysam, B. (2005). Image Change Detection Algorithms: A systematic survey, Image Processing, IEEE Trans on March, 14(3): 294-307.

[2]. Robert Pallbo (1994). ”Motion Detection - A Neural Model and its Implementation” Lund University Cognitive Science, Sweden.

[3]. Cheng-Hua Pai, Yu-Ping Lin, and Gerard G. Medioni, (2007). “Moving Object Detection on a Runway Prior to Landing Using an Onboard Infrared Camera”, Institute for Robotics and Intelligence Systems, University of Southern California, IEEE.

[4]. Mior Mohammad Hafiizh Bin Abd. Rani (2007). “Active Infrared Motion Detector for House Security System”, Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang, November.

[5]. Renno, N. Lazarevic-McManus, D. Makris and G.A. Jones (2006). “Evaluating Motion Detection Algorithms: Issues and Results”, Digital Imaging Research Centre, Kingston University.

[6]. BoWu-Ram Nevatia, (2008). “Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses”.

[7]. Tao Zhao, Ram Nevatia, and Bo Wu, (2008). “Segmentation and Tracking of Multiple Humans in Crowded Environments” IEEE.

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