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A genetic algorithm based moving object detection for real-time traffic surveillance

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Final Year IEEE Projects for BE, B.Tech, ME, M.Tech,M.Sc, MCA & Diploma Students latest Java, .Net, Matlab, NS2, Android, Embedded,Mechanical, Robtics, VLSI, Power Electronics, IEEE projects are given absolutely complete working product and document providing with real time Software & Embedded training......

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A genetic algorithm based moving object detection for real-time traffic surveillance

  1. 1. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com A GENETIC ALGORITHM-BASED MOVING OBJECT DETECTION FOR REAL-TIME TRAFfiC SURVEILLANCE By A PROJECT REPORT Submitted to the Department of electronics &communication Engineering in the FACULTY OF ENGINEERING & TECHNOLOGY In partial fulfillment of the requirements for the award of the degree Of MASTER OF TECHNOLOGY IN ELECTRONICS &COMMUNICATION ENGINEERING APRIL 2016
  2. 2. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CERTIFICATE Certified that this project report titled “A Genetic Algorithm-Based Moving Object Detection for Real-time Traffic Surveillance” is the bonafide work of Mr. _____________Who carried out the research under my supervision Certified further, that to the best of my knowledge the work reported herein does not form part of any other project report or dissertation on the basis of which a degree or award was conferred on an earlier occasion on this or any other candidate. Signature of the Guide Signature of the H.O.D Name Name
  3. 3. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com DECLARATION I hereby declare that the project work entitled “A Genetic Algorithm-Based Moving Object Detection for Real-time Traffic Surveillance” Submitted to BHARATHIDASAN UNIVERSITY in partial fulfillment of the requirement for the award of the Degree of MASTER OF APPLIED ELECTRONICS is a record of original work done by me the guidance of Prof.A.Vinayagam M.Sc., M.Phil., M.E., to the best of my knowledge, the work reported here is not a part of any other thesis or work on the basis of which a degree or award was conferred on an earlier occasion to me or any other candidate. (Student Name) (Reg.No) Place: Date:
  4. 4. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com
  5. 5. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ACKNOWLEDGEMENT I am extremely glad to present my project “A Genetic Algorithm-Based Moving Object Detection for Real-time Traffic Surveillance” which is a part of my curriculum of third semester Master of Science in Computer science. I take this opportunity to express my sincere gratitude to those who helped me in bringing out this project work. I would like to express my Director,Dr. K. ANANDAN, M.A.(Eco.), M.Ed., M.Phil.,(Edn.), PGDCA., CGT., M.A.(Psy.)of who had given me an opportunity to undertake this project. I am highly indebted to Co-OrdinatorProf. Muniappan Department of Physics and thank from my deep heart for her valuable comments I received through my project. I wish to express my deep sense of gratitude to my guide Prof. A.Vinayagam M.Sc., M.Phil., M.E., for her immense help and encouragement for successful completion of this project. I also express my sincere thanks to the all the staff members of Computer science for their kind advice. And last, but not the least, I express my deep gratitude to my parents and friends for their encouragement and support throughout the project.
  6. 6. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com ABSTRACT: Recent developments in vision systems such as distributed smart cameras have encouraged researchers to develop advanced computer vision applications suitable to embedded platforms. In the embedded surveillance system, where memory and computing resources are limited, simpleand efficient computer vision algorithms are required. In this letter, we present a moving object detection method for real-time traffic surveillance applications. The proposed method is a combination of a genetic dynamic saliency map (GDSM), which is an improved version of dynamic saliency map (DSM) and background subtraction. The experimental results show the effectiveness of the proposed method in detecting moving objects.
  7. 7. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com INTRODUCTION: Moving object detection, a basic step in video analysis, is crucial in application areas such as automated visual surveillance, human-computer interaction, content-based video compression, and automatic traffic monitoring, In other words, every tracking algorithm requires an object detection mechanism to detect objects either in every frame or during the first occurrence in the video and the tracking performance of visual surveillance systems is dependent on the effectiveness of object detection. Moving object detection extracts moving objects of interest such as vehicles and pedestrians in video sequences with a static or dynamic background. In real-time traffic surveillance systems, moving object detection based on images obtained from fixed CCTV cameras involves many challenging problems including the following: 1) unexpected number of multiple moving objects; 2) size variation and poorly textured objects; 3) rapid change in illumination conditions; and 4) shadows and multiple occlusions In real-time embedded systems where the computational and memory resources are scarce, the computational complexity of different algorithms such as object detection is also Manuscript received October 31, 2014; Accepted March 20, 2015. Date of publication March 30, 2015; date of current version April 02, 2015. This work was supported by the MSIP(Ministry of Science, ICT & Future Planning), Korea, under the C-ITRC (Convergence Information Technology Research Center) support program (NIPA-2014-H0401-14-1004) supervised by the NIPA(National IT Industry Promotion Agency). The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Negar Kiyavash. The authors are with the School of Electronics Engineering, Kyungpook National University, Taegu, Korea Color versions of one or more of the figures in this paper are available online Digital Object Identifier 10.1109/LSP.2015.2417592 a challenging task Therefore, object detection algorithms intended for embedded systems should be fast, simple and effective with
  8. 8. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com superior performance. In this letter, we present an object detection algorithm suitable to embedded surveillance applications. The proposed method is a combination of genetic dynamic saliency map (GDSM) and background subtraction. GDSM is based on dynamic saliency map (DSM) [3], and requires less computation, has higher object detection accuracy, and is more robust to noise and environment variations. The performance improvement of GDSM over the conventional DSM is due to optimization of the weights using a Genetic algorithm, while uniform weights are used in the original DSM when creating a saliency map. However, GDSM fails to detect objects especially when they stop unexpectedly in the middle of the road. Therefore, we combine GDSM with background subtraction (BS) to detect moving objects more accurately. BS helps detect tighter object boundaries and surrounding areas. Among the various BS methods, we adopt running Gaussian averaging that is known to be fast and simple. The rest of the letter is organized as follows: Section II presents a brief literature review on different object detection algorithms. Section III describes the proposed algorithm in detail. Section IV presents the experimental results and discussion, and Section V concludes the letter.
  9. 9. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com CONCLUSION: In this letter, we propose an improved object detection method based on a genetic dynamic saliency map and background subtraction. The proposed object detection method is fast, simple, and with good performance. Thus, it is suitable for embedded systems. The proposed method is practical to handle shadow and occlusion problems efficiently
  10. 10. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com REFERENCES: [1] YWang, “Real-time moving vehicle detection with cast shadow removal in video based on conditional random field,” IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 3, pp. 437–41, 2009. [2] K. A. Joshi and D. G. Thakore, “A survey on moving object detection and tracking in video surveillance system,” Int. J. Soft Comput. Eng. (IJSCE), vol. 2, no. 3, pp. 44–48, 2012. [3] J.-W. Woo, W. Lee, and M. Lee, “A traffic surveillance system using dynamic saliency map and svm boosting,” Int. J. Contr. Auton. Syst., vol. 8, no. 5, pp. 948–956, 2010. [4] B. Rinner and W. Wolf, “An introduction to distributed smart cameras,” Proc. IEEE, vol. 96, no. 10, pp. 1565–1575, 2008. [5] M. Piccardi, “Background subtraction techniques: A review,” in IEEE Int. Conf. Syst., Man and Cybern, 2004, vol. 4, pp. 3099–3104. [6] I. S. Kim, H. S. Choi, K. M. Yi, J. Y. Choi, and S. G. Kong, “Intelligent visual surveillance— A survey,” Int. J. Contr. Auton. Syst., vol. 8, no. 5, pp. 926–939, 2010. [7] R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, “Detecting moving objects, ghosts, and shadows in video streams,” IEEE Trans. Patt. Anal. Mach. Intell., vol. 25, no. 10, pp. 1337– 1342, 2003. [8] P.-L. St-Charles, G.-A. Bilodeau, and R. Bergevin, “Flexible background subtraction with self-balanced local sensitivity,” in IEEE Conf. Comput. Vision and Pattern Recogn. Workshop (CVPRW), 2014, pp. 414–419. [9] N. Paragios and R. Deriche, “Geodesic active contours and level sets for the detection and tracking of moving objects,” IEEE Trans. Patt. Anal. Mach. Intell., vol. 22, no. 3, pp. 266–280, 2000. [10] R. Cucchiara, C. Grana, M. Piccardi, A. Prati, and S. Sirotti, “Improving shadow suppression in moving object detection with HSV color information,” in Proc. IEEE Intell. Transp. Syst., 2001, pp. 334–339.
  11. 11. OUR OFFICES @CHENNAI/ TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE / BANGALORE / HYDRABAD CELL: +91 9894917187 | 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 ECWAY TECHNOLOGIES IEEE SOFTWARE | EMBEDDED | MECHANICAL | ROBOTICS PROJECTS DEVELOPMENT Visit: www.ecwaytechnologies.com | www.ecwayprojects.com Mail to: ecwaytechnologies@gmail.com [12] D. Comaniciu, V. Ramesh, and P. Meer, “Real-time tracking of nonrigid objects using mean shift,” in IEEE Conf. Comput. Vision Pattern Recognition, 2000, pp. 142–149.

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