Volume 3 Number 6 (Dec. 2011)
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IJCEE 2011 Vol.3(6): 771-778 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.418

Speed Detection Camera System using Image Processing Techniques on Video Streams

Osman Ibrahim, Hazem ElGendy, and Ahmed M. ElShafee

Abstract—This paper, presents a new Speed Detection Camera System (SDCS) that is applicable as a radar alternative. SDCS uses several image processing techniques on video stream in online -captured from single camera- or offline mode, which makes SDCS capable of calculating the speed of moving objects avoiding the traditional radars' problems. SDCS offers an en-expensive alternative to traditional radars with the same accuracy or even better. SDCS processes can be divided into four successive phases; first phase is Objects detection phase. Which uses a hybrid algorithm based on combining an adaptive background subtraction technique with a three-frame differencing algorithm which ratifies the major drawback of using only adaptive background subtraction? The second phase is Objects tracking, which consists of three successive operations, Object segmentation, Object labelling, and Object canter extraction. Objects tracking operation takes into consideration the different possible scenarios of the moving object like; Simple tracking, object has left the scene, object has entered the scene, object cross by another object, and object leaves and another one enters the scene. Third phase is speed calculation phase, which is calculated from the number of frames consumed by the object to pass-by the scene. The final phase is Capturing Object's Picture phase, which captures the image of objects that violate the speed limits. SDCS is implemented and tested in many experiments; it proved to have achieved a satisfactory performance.

Index Terms—Image Processing, speed detection camera,radar, object recognition, object tracing

Osman Ibrahim is with vice chair CEO, Informatique Corp, Cairo,Egypt, (e-mail: DrOsman@Yahoo.com).
Hazem ElGendy is with Chair, Computer Science Dept, Ahram Canadian University, 6th October city, Giza, Egypt (e-mail:H_elgendy@masrawy.com).
Ahmed M. ElShafee is with Asst. Prof. Network Dept., Ahram Canadian University, 6th October city, Giza, Egypt (e-mail: aelshafee@ieee.org).

Cite: Osman Ibrahim, Hazem ElGendy, and Ahmed M. ElShafee, "Speed Detection Camera System using Image Processing Techniques on Video Streams," International Journal of Computer and Electrical Engineering vol. 3, no. 6, pp. 771-778, 2011.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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