{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T05:11:03Z","timestamp":1654146663696},"reference-count":22,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,1,1]]},"abstract":"<p>In this paper, the authors propose a model for classification of moving vehicles in traffic videos. A corner-based tracking method is presented to track and detect moving vehicles. The authors propose to overlap the boundary curves of each of the detected moving vehicles while tracking in a sequence of frames to reconstruct a complete boundary shape of the vehicle. The reconstructed boundary shape is normalized and then shape features are extracted. Vehicles are categorized into 4 different types of vehicle classes using KNN rule, the weighted KNN, PNN, and SVM classifiers. Experiments are conducted on traffic video sequences captured in an uncontrolled environment during daytime.<\/p>","DOI":"10.4018\/ijcvip.2013010104","type":"journal-article","created":{"date-parts":[[2013,7,3]],"date-time":"2013-07-03T18:50:58Z","timestamp":1372877458000},"page":"42-54","source":"Crossref","is-referenced-by-count":0,"title":["Shape Features of Overlapping Boundary for Classification of Moving Vehicles"],"prefix":"10.4018","volume":"3","author":[{"given":"Elham","family":"Dallalzadeh","sequence":"first","affiliation":[{"name":"Department of Computer, Islamic Azad University Marvdasht Branch, Marvdasht, Iran"}]},{"given":"D. S.","family":"Guru","sequence":"additional","affiliation":[{"name":"Department of Studies in Computer Science, University of Mysore, Mysore, Karnataka, India"}]}],"member":"2432","reference":[{"key":"ijcvip.2013010104-0","doi-asserted-by":"crossref","unstructured":"Buch, N., Yin, F., Orwell, J., Makris, D., & Velastin, S. A. (2009). Urban vehicle tracking using a combined 3D model detector and classifier. In Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (Vol. 5711, pp. 169-176).","DOI":"10.1007\/978-3-642-04595-0_21"},{"key":"ijcvip.2013010104-1","doi-asserted-by":"crossref","unstructured":"Chen, X., & Zhang, Ch. (2007). Vehicle classification from traffic surveillance videos at a finer granularity. In Proceedings of the 13th International Multimedia Modeling Conference: part I (pp. 772-781).","DOI":"10.1007\/978-3-540-69423-6_75"},{"key":"ijcvip.2013010104-2","author":"L.Costa","year":"2001","journal-title":"Shape analysis and classification"},{"key":"ijcvip.2013010104-3","unstructured":"Dallalzadeh, E., Guru, D. S., Manjunath, S., & Suraj, M. G. (2011). Corner-based tracking of moving vehicles in traffic videos. In I Proceedings of the 5th Indian International Conference on Artificial Intelligence (pp. 956-969)."},{"key":"ijcvip.2013010104-4","doi-asserted-by":"crossref","unstructured":"Dallalzadeh, E., Guru, D. S., Manjunath, S., & Suraj, M. G. (2012). Classification of moving vehicles in traffic videos. In Proceedings of the Second International Conference on Computer Science and Information Technology, 85(2), 221-1, LNICST, Springer.","DOI":"10.1007\/978-3-642-27308-7_22"},{"key":"ijcvip.2013010104-5","doi-asserted-by":"publisher","DOI":"10.1109\/6979.994794"},{"key":"ijcvip.2013010104-6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.874722"},{"issue":"4","key":"ijcvip.2013010104-7","first-page":"607","article-title":"Measuring traffic flow and classifying vehicle types: A surveillance video based approach.","volume":"19","author":"E.Ince","year":"2011","journal-title":"Turkish Journal of Electrical Engineering & Computer Sciences"},{"key":"ijcvip.2013010104-8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.07.011"},{"key":"ijcvip.2013010104-9","doi-asserted-by":"crossref","DOI":"10.4018\/978-1-61350-326-3","author":"A. S.Malik","year":"2012","journal-title":"Depth map and 3D imaging applications: Algorithms and technologies"},{"key":"ijcvip.2013010104-10","doi-asserted-by":"crossref","unstructured":"Maurin, B., Masoud, O., & Papanikolopoulos, N. (2002). Monitoring crowded traffic scenes. In Proceedings of the 5th International Conference on Intelligent Transportation Systems (pp. 19-24).","DOI":"10.1109\/ITSC.2002.1041182"},{"key":"ijcvip.2013010104-11","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2005.1411416"},{"key":"ijcvip.2013010104-12","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-004-0239-9"},{"key":"ijcvip.2013010104-13","doi-asserted-by":"crossref","unstructured":"Morris, B., & Trivedi, M. (2006). Improved vehicle classification in long traffic video by cooperating tracker and classifier modules. In Proceedings of the International Conference on Video and Signal Based Surveillance.","DOI":"10.1109\/AVSS.2006.65"},{"key":"ijcvip.2013010104-14","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0112-6"},{"key":"ijcvip.2013010104-15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2011.03.027"},{"key":"ijcvip.2013010104-16","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(97)00009-7"},{"key":"ijcvip.2013010104-17","doi-asserted-by":"crossref","unstructured":"Techmer, A. (2001). Contour-based motion estimation and object tracking for real-time applications. In Proceedings of the International Conference on Image Processing (pp. 648-651).","DOI":"10.1109\/ICIP.2001.958202"},{"key":"ijcvip.2013010104-18","unstructured":"Ticiano, A. C. B., Gabriel, I. S. R., Victor, A. P. B., Marcus, V. L., Daniel, A., George, L. T., & Yaeko, Y. (2008). A new approach to multiple vehicle tracking in intersections using Harris corners and adaptive background subtraction. In Proceedings of the Intelligent Vehicles Symposium (pp. 548-553). Eindhoven, Netherlands: University of Technology Eindhoven."},{"key":"ijcvip.2013010104-19","doi-asserted-by":"crossref","unstructured":"Wu, W., Zhang, Q., & Wang, M. (2001). A method of vehicle classification using models and neural networks. In Vehicular Technology Conference (Vol. 4. pp. 3022-3026).","DOI":"10.1109\/VETECS.2001.944158"},{"key":"ijcvip.2013010104-20","unstructured":"Zhang, Ch., Chen, X., & Chen, W. (2006). A PCA-based vehicle classification framework. In Proceedings of the 22nd International Conference on Data Engineering Workshops (pp. 17-26)."},{"key":"ijcvip.2013010104-21","doi-asserted-by":"publisher","DOI":"10.1016\/S1047-3203(03)00003-8"}],"container-title":["International Journal of Computer Vision and Image Processing"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=78370","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:22:06Z","timestamp":1654107726000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/ijcvip.2013010104"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2013,1,1]]},"references-count":22,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijcvip.2013010104","relation":{},"ISSN":["2155-6997","2155-6989"],"issn-type":[{"value":"2155-6997","type":"print"},{"value":"2155-6989","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1,1]]}}}