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Real time object tracking is a challenging problem in the field of computer vision, motion-based recognition, automated surveillance, traffic monitoring, augmented reality and object based video compression etc. Performance at higher level is greatly depends on accurate performance of object detection. Various platforms are being used for designing and implementation of object detection algorithm. It includes C programming, MATLAB and Simulink, open cv etc. Among these, MATLAB programming is most popular due to its extensive features. These features include data processing using matrix, set of toolboxes and Simulink blocks covering all technology fields, easy programming. This project presents the implementation of object detection and tracking using MATLAB.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0", "start": "2021-08-16", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/tsmc.1979.4310076", "unstructured": "Otsu N, “A threshold selection method from gray-level histograms”, IEEE transactions on systems, man, and cybernetics, Vol.9, No.1, (1979), pp.62-66" }, { "key": "ref2", "doi": "10.1109/83.217222", "unstructured": "Vincent L, “Morphological grayscale reconstruction in image analysis: applications and efficient algorithms”, IEEE transactions on image processing, Vol.2, No.2, (1993), pp.176-201" }, { "key": "ref3", "unstructured": "Gonzalez RC, Woods RE & Eddins S.L, Digital Image Processing Using MATLAB, Pearson Education, Inc, (2004)" }, { "key": "ref4", "unstructured": "Mohamed Hammami, Salma Kammoun Jarraya, and Hanêne Ben-Abdallah,” A Comparative Study of Proposed Moving Object Detection Methods”,Journal of Next Generation Information Technology. 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He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2016" }, { "key": "ref12", "doi": "10.5772/intechopen.71731", "unstructured": "Kenshi Saho, “Kalman Filter for Moving Object Tracking: Performance Analysis and Filter Design”, Kalman Filters-Theory for Advanced Applications, IMTECH Open science, 2018" }, { "key": "ref13", "unstructured": "A. Jay Shiurkar, B. Pooja Lakhane, C. Milind Rane, ”OBJECT TRACKING USING WEBCAM“ International Journal of Research and Analytical Reviews( IJRAR), Volume 5, Issue 4, E-ISSN 2348-1269, P-ISSN 2349-5138 December 2018" }, { "key": "ref14", "doi": "10.1109/cvpr.2019.00142", "unstructured": "Qiang Wang, Li Zhang, Luca Bertinetto,” Fast Online Object Tracking and Segmentation: A Unifying Approach”, IEEE explore, 2019" }, { "key": "ref15", "doi": "10.1109/ic-get37996.2015", "unstructured": "G.Babitha, Dr.S.Sivanandan and K. Sriram, “MULTIPLE OBJECT DETECTION AND TRACKING USINGMATLAB SIMULINK”, Online International Conference on Green Engineering and Technologies (IC-GET) 2015" }, { "key": "ref16", "doi": "10.1109/te.2008.921799", "unstructured": "S.-C. Lin and C.-C. Tsai, “Development of a self-balancing human transportation vehicle for the teaching of feedback control,” Education, IEEE Transactions on, vol. 52, no. 1, pp. 157–168, Feb 2009" }, { "key": "ref17", "doi": "10.1109/crv.2006.52", "unstructured": "R. Bourezak and G.-A. Bilodeau, “Object detection and tracking using iterative division and correlograms,” in Computer and Robot Vision, June 2006, pp. 38–38" }, { "key": "ref18", "doi": "10.17762/turcomat.v12i2.2025", "unstructured": "Makrand M Jadhav, Gajanan H. Chavan, and Altaf O. Mulani, “Machine Learning based Autonomous Fire Combat Turret”, Turkish Journal of Computer and Mathematics Education, Vol.12 No.2 (2021), 2372-2381, https://doi.org/10.17762/turcomat.v12i2.2025" }, { "key": "ref19", "unstructured": "Ganesh Shinde and Altaf Mulani, “A Robust Digital Image Watermarking using DWT-PCA”, International Journal of Innovations in Engineering Research and Technology (IJIERT), Vol. 6 Issue 4 April 2019" }, { "key": "ref20", "unstructured": "Renuka Kondekar and A. O. Mulani, “Raspberry pi based voice operated Robot”, International Journal of Recent Engineering Research and Development (IJRERD), Vol. 2 Issue 12, Dec. 2017" }, { "key": "ref21", "doi": "10.1007/978-981-10-1540-3_20", "unstructured": "Kulkarni P.R., Mulani A.O. and Mane P. B., “Robust Invisible Watermarking for Image Authentication”, In Emerging Trends in Electrical, Communications and Information Technologies, Lecture Notes in Electrical Engineering, vol 394, pp 193-200, Springer, Singapore, 2017" }, { "key": "ref22", "doi": "10.11591/eei.v6i2.651", "unstructured": "A.O.Mulani and Dr.P.B.Mane, “Watermarking and Cryptography Based Image Authentication on Reconfigurable Platform”, Bulletin of Electrical Engineering and Informatics, Vol.6 No.2, pp 181-187, 2017" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-11", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/743", "sha256_before": "e75ec3b5090a7bd42796b0e1d2c473ec1942582c53e506fb12b5b66c75606334", "sha256_after": "0108fca52463af5fe44121bdac942e921e89f3b765cd8c480e6148487a6b1ea2" } ] }