Construcción de la herramienta de evaluación a partir de los procesos de COBIT identificados

Further research consists of tuning the system towards real applications. A first general requirement is to model the dynamic system accordingly. In order to detect the moving targets from each input a frame subtraction method is employed. Further research has to be done in this area as this does not consider the other changing effects like environmental changes or sudden illumination changes. Feature points are detected and tracked instead of tracking the centroid of the object because the error involved in tracking the location of centroid is high. Camera calibration has to be improved for the real scenarios where the ground truth is not available. Self calibration techniques have to be employed. The camera model has to be extended. We

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considered one of the camera parameters i.e. the aspect ratio to be 1. The change in the focal length and zoom is considered while modeling the camera.

In tracking the object the present thesis deals with the simple scenario where the vehicle moves in a straight line motion. In future the study has to be extended to different challenging scenarios. Instead of using only video cameras to collect the measurements many other sensors can be included which can serve as the ground truth data.

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Bibliography

[1] Bandarupalli, Sowmya. "Vehicle Detection and Tracking Using Wireless Sensors and Video Cameras." New Orleans LA, 2009.

[2] Bouguet, Jean-Yves. http://www.vision.caltech.edu/bouguetj/calib_doc/. June 17, 2004. [3] Canton-Ferrer, C.; Casas, J.R.; Tekalp, M.; Pardas, M. "Projective kalman Filter:

Multiocular Tracking of 3D locations towards scene understanding." 2005.

[4] Cyganek, Boguslaw; Siebert, J Paul. An Introduction to 3D computer vision Techniques and Algorithms. Hardbound. John Wiley & Sons Ltd, 2009.

[5] Dai, Songtao; Ji, Qiang. "A New Technique for Camera Self Calibration." Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on. Seoul, Korea, 2001. 2165-2170.

[6] Dawson-Howe, Kenneth M.; Vernon, David. "Simple Pinhole Camera Calibration." International Journal of Imaging systems and Technology Vol 5 (John Wiley & Sons, Inc.), 1994: 1-6.

[7] Derpanis, Konstantinos G. "The Harris Corner Detector." October 27, 2004.

[8] Elias, Rimon. "Enhancing Accuracy of Camera Rotation Angles Detected by Inaccurate Sensors and Expressing them in Different Systems for Wide Baseline Stereo." Proceedings of IEEE SPIE 8th International Conference on Quality Control by Artificial Vision. May 2007. 635-617-1:8.

[9] Faugeras, Olivier; Luong, Quang-Tuan. The Geometry of Multiple Images. London: MIT press, 2001.

[10] Fletcher, Luke. "An Introduction to Computer Vision." 2003.

[11] Frahm, Jan-Michael; Koch, Reinhard; Albrechts, Christian. "Camera Calibration and 3D Scene Reconstruction from Image Sequence and Rotation Sensor data." Kiel, Germany, 2003.

[12] Hartley, Richard I. "Estimation of Relative Camera Positions for Uncalibrated Cameras." Springer-Verlag, 1992. 579-587.

[13] Hartley, Richard I. "Euclidean Reconstruction from Uncalibrated Images." Schenectady . [14] Hartley, Richard I.; Sturm, Peter. "Triangulation." In Proceedings of ARPA Image

Understanding Workshop. 1994. 957-966.

[15] Hartley, Richard; Zisserman, Andrew. Multiple View Geometry in Computer Vision. Cambridge University Press, 2000.

[16] Li, X. Rong; Jilkov, Vesselin P. "Survey of Maneuvering Target Tracking Part 1: Dynamic Models." Aerospace and Electronic Systems, IEEE Transactions on 39 (Oct. 2003): 1333-1364.

[17] Li, X. Rong; Zhao, Zhanlue; Jilkov, Vesselin P. "Practical Measures and test for Credibility of an Estimator." Workshop on Estimation, Tracking, and Fusion - A Tribute

to Yaakov Bar-Shalom. LA, May 2001.

[18] Ma, Yi; Soatto, Stefano; Kosecka, Jana; Sastry, S. Shankar;. An Invitation to 3D Vision. From Images to Geometric Models. Springer Verlag New York Inc., 2003.

[19] Mariottini, Gian Luca; Prattichizzo, Domenico. "Epipolar Geometry Toolbox." Siena Italy, 2005.

59

[20] McLauchlan, P.F.; Murray, D.W. "Active Camera Calibration for a Head Eye Platform using the Variable State Dimension Filter." Pattern Analysis and Machine Intelligence, IEEE Transactions on 18 (January 1 1996): 15-22.

[21] Mendonca, Paulo R. S.; Cipolla, Roberto. "A simple Technique for Self Calibration." Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on. Cambridge UK, 1999. 505.

[22] Min, Young Min. "Object Tracking in a Video Sequence."

[23] Mohr, R.; Quan, L.; Veillon, F. "Relative 3D Reconstruction Using Multiple Uncalibrated Images." International Journal of Robotics Research vol 14 No. 6 (Sage Publications, Inc.) 14 (1995): 619-632.

[24] Nagmode, M.S.; Joshi, M.A. "Moving Object Detection from Image Sequence in Context with Multimedia Processing." 2008.

[25] Parks, Donovan; Gravel, Jean-Philippe.

http://www.cim.mcgill.ca/~dparks/CornerDetector/harris.htm.

[26] Pollefeys, Marc. "Self Calibration and Metric 3D Reconstruction from Uncalibrated Image Sequences." Department of Electrical Engineering, Center for Processing of Speech and Images (PSI), Heverlee (Belgium), 1999.

[27] Remondino, Fabio; Fraser, Clive. "Digital Camera Calibration Methods: Considerations and Comparisions." InternationalArchives of Photogrammetry, Remote Sensing and the Spatial Sciences. Dresden, 2006. 266-272.

[28] Rhody, Harvey. "Corner Detection." April 11 2006.

[29] Rosales, Romer; Sclaroff, Stan. "3D Trajectory for Tracking Multiple Objects and Trajectory Guided Recognition of Actions." IEEE. IEEE, 1999.

[30] Sankaranarayanan, A.C. ; Veeraraghavan, A. ; Chellappa, R. "Object Detection, Tracking and Recognition for Multiple Smart Cameras." (Institute of Electrical and Electronics Engineers, New York, NY) 96 (Oct. 2008): 1606-1624.

[31] Stein, G. P. "Accurate Internal Camera Calibration Using Rotation with Analysis of Sources of Error." In Fifth International Conference on Computer Vision (ICCV’95). Cambridge MA, 1995. 230-236.

[32] Taubin, Gabriel. "Rotations." 2001.

[33] Tissainayagam,P.;Suter, D. "Assessing the Performance of Corner Detectors for Point Feature Tracking Applications." Image and Vision Computing 22 (2004): 663-679.

[34] Topay, Ugur; Tola, Engin; Alatan, A. Aydin. "Solving Fundamental matrix for Uncalibrated Scene Reconstruction." Ankara Turkey.

[35] Torr, P. H. S. "A Structure and Motion Toolkit in Matlab " Interactive Adventures in S and M"." Cambridge, UK, June 2002.

[36] Tsai, R. "A Versatile Camera Calibration Technique for High Accuracy 3D Machine Vision Metrology Using Off the Shelf TV cameras and Lenses." Robotics and Automation, IEEE Journal of 3 (August 1987): 323-344.

[37] Whitehead, Anthony; Roth, Gerhard. "Estimating Intrinsic Camera parameters from the Fundamental Matrix using an Evolutionary Approach." EURASIP Journal on Applied Signal Processing 8 (2004).

[38] Yang, Ming; Chen, Huimin; Bandarupalli, Sowmya; Li, Xiao-Rong;. "A Surveillance Testbed with Networked Sensors for Integrated Target Inference." Testbeds and Research Infrastructure for the Development of Networks and Communities, 2007. TridentCom 2007. 3rd International Conference on. May 2007.

60

[39] Yilmaz, Alper; Javed, Omar; Shah, Mubarak. "Object Tracking: A Survey." ACM

Computing Survey, December 2006.

[40] Zitova, Barbara; Flusser, Jan. "Image Registration methods: a Survey." Image and Vision Computing 21 (2003): 977-1000.

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Vita

Ashwini Amara was born in Hyderabad, Andhra Pradesh state, India. She received her Bachelor of Engineering in 2007 from Osmania University. In the fall of 2007, she started at the University of New Orleans, pursuing a Master‟s of Science in Electrical Engineering.

During graduate school, she was a Graduate Assistant for three consecutive years at the University of New Orleans in the Department of Electrical Engineering under Dr. Xiao-Rong Li. Her academic emphasis is focused in the areas of Computer Vision, Image Processing, and Statistical Signal Processing.