{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:40:03Z","timestamp":1751416803939,"version":"3.41.0"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319759272"},{"type":"electronic","value":"9783319759289"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-75928-9_86","type":"book-chapter","created":{"date-parts":[[2018,2,23]],"date-time":"2018-02-23T07:14:14Z","timestamp":1519370054000},"page":"934-943","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Performance Evaluation of Support Vector Machine and Convolutional Neural Network Algorithms in Real-Time Vehicle Type Classification"],"prefix":"10.1007","author":[{"given":"Ali","family":"\u015eenta\u015f","sequence":"first","affiliation":[]},{"given":"\u0130sabek","family":"Tashiev","sequence":"additional","affiliation":[]},{"given":"Fatmanur","family":"K\u00fc\u00e7\u00fckayvaz","sequence":"additional","affiliation":[]},{"given":"Seda","family":"Kul","sequence":"additional","affiliation":[]},{"given":"S\u00fcleyman","family":"Eken","sequence":"additional","affiliation":[]},{"given":"Ahmet","family":"Sayar","sequence":"additional","affiliation":[]},{"given":"Ya\u015far","family":"Becerikli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,2,24]]},"reference":[{"issue":"12","key":"86_CR1","first-page":"1","volume":"12","author":"C Ying-Nong","year":"2015","unstructured":"Ying-Nong, C., Chin-Chuan, H., Gang-Feng, H., Kuo-Chin, F.: Facial\/license plate detection using a two-level cascade classifier and a single convolutional feature map. Int. J. Adv. Robot. Syst. 12(12), 1\u201316 (2015)","journal-title":"Int. J. Adv. Robot. Syst."},{"key":"86_CR2","doi-asserted-by":"crossref","unstructured":"Bas, E., Tekalp, A.M., Salman, S.: Automatic vehicle counting from video for traffic flow analysis. In: Proceedings of IEEE Intelligent Vehicles Symposium, pp. 392\u2013397. IEEE Pres, Istanbul (2007)","DOI":"10.1109\/IVS.2007.4290146"},{"issue":"1","key":"86_CR3","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.aej.2015.12.010","volume":"55","author":"AA Al-Sobkya","year":"2016","unstructured":"Al-Sobkya, A.A., Mousa, R.M.: Traffic density determination and its applications using smartphone. Alex. Eng. J. 55(1), 513\u2013523 (2016)","journal-title":"Alex. Eng. J."},{"key":"86_CR4","doi-asserted-by":"crossref","unstructured":"Pelegri, J., Alberola, J., Llario, V.: Vehicle detection and car speed monitoring system using GMR magnetic sensors. In: Proceedings of IEEE Annual Conference in the Industrial Electronics Society, pp. 1693\u20131695. IEEE, Sevilla (2002)","DOI":"10.1109\/IECON.2002.1185535"},{"key":"86_CR5","doi-asserted-by":"crossref","unstructured":"Ryusuke, K., Shigeyuki, K., Tomoyuki, N., Takashi, A., Makoto, A., Hisao, O.: A punctilious detection method for measuring vehicles\u2019 speeds. In: Proceedings of the International Symposium on Intelligent Signal Processing and Communication System, pp. 967\u2013970. IEEE, Tottori (2006)","DOI":"10.1109\/ISPACS.2006.364800"},{"issue":"2","key":"86_CR6","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1109\/TITS.2005.848364","volume":"6","author":"HC Harry","year":"2005","unstructured":"Harry, H.C., Benjamin, D.S., Joe, P., Bin, L., Bo, C., Zhaoqing, W.: Development and field test of a laser-based nonintrusive detection system for identification of vehicles on the highway. IEEE Trans. Intell. Trans. Syst. 6(2), 147\u2013155 (2005)","journal-title":"IEEE Trans. Intell. Trans. Syst."},{"key":"86_CR7","doi-asserted-by":"crossref","unstructured":"Marikhu, R., Moonrinta, J., Ekpanyapong, M., Dailey, M.N., Siddhichai, S.: Police eyes: real world automated detection of traffic violations. In: Proceedings of ECTI-CON, pp. 1\u20136. IEEE, Krabi (2013)","DOI":"10.1109\/ECTICon.2013.6559635"},{"key":"86_CR8","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: YOLO9000: better, faster, stronger. In: Proceedings of Conference on Computer Vision and Pattern Recognition. IEEE, Honolulu (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"86_CR9","doi-asserted-by":"crossref","unstructured":"Kul, S., Eken, S., Sayar, A.: A concise review on vehicle detection and classification. In: Proceedings of the Third International Workshop on Data Analytics and Emerging Services, pp. 1\u20134. IEEE, Antalya (2017)","DOI":"10.1109\/ICEngTechnol.2017.8308199"},{"key":"86_CR10","doi-asserted-by":"crossref","unstructured":"Viola P., Jones M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of Computer Vision and Pattern Recognition, pp. 511\u2013518. IEEE, Kauai (2001)","DOI":"10.1109\/CVPR.2001.990517"},{"issue":"35","key":"86_CR11","first-page":"455","volume":"59","author":"S Han","year":"2009","unstructured":"Han, S., Han, Y., Hahn, H.: Vehicle detection method using Haar-like feature on real time system. World Acad. Sci. Eng. Technol. 59(35), 455\u2013459 (2009)","journal-title":"World Acad. Sci. Eng. Technol."},{"key":"86_CR12","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 886\u2013893. IEEE, San Diego (2005)","DOI":"10.1109\/CVPR.2005.177"},{"issue":"2","key":"86_CR13","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/B:VISI.0000029664.99615.94","volume":"60","author":"DG Lowe","year":"2004","unstructured":"Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91\u2013110 (2004)","journal-title":"Int. J. Comput. Vis."},{"key":"86_CR14","doi-asserted-by":"crossref","unstructured":"Bay, H., Tuytelaars, T., Van Gool, L.: Surf: speeded up robust features. In: Proceedings of Computer Vision\u2013ECCV vol. 110, pp. 404\u2013417 (2006)","DOI":"10.1007\/11744023_32"},{"key":"86_CR15","doi-asserted-by":"crossref","unstructured":"Ojala, T., Pietik\u00e4inen, M., Harwood, D.: Performance evaluation of texture measures with classification based on Kullback discrimination of distributions. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition, pp. 58\u201362. IEEE, Jerusalem (1994)","DOI":"10.1109\/ICPR.1994.576366"},{"key":"86_CR16","doi-asserted-by":"crossref","unstructured":"Wang, X., Han, T.X., Yan, S.: An HOG-LBP human detector with partial occlusion handling. In: Proceedings of IEEE 12th International Conference on Computer Vision, pp. 32\u201339. IEEE, Kyoto (2009)","DOI":"10.1109\/ICCV.2009.5459207"},{"key":"86_CR17","unstructured":"Wu, J., Zhang, X.: A PCA classifier and its application in vehicle detection. In: Proceedings of International Joint Conference on Neural Networks, pp. 600\u2013604. IEEE, Washington (2001)"},{"issue":"2","key":"86_CR18","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"CJC Burges","year":"1998","unstructured":"Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2(2), 121\u2013167 (1998)","journal-title":"Data Min. Knowl. Discov."},{"key":"86_CR19","first-page":"771","volume":"14","author":"Y Freund","year":"1999","unstructured":"Freund, Y., Schapire, R., Abe, N.: A short introduction to boosting. J. Jpn. Soc. Artif. Intell. 14, 771\u2013780 (1999)","journal-title":"J.-Japan. Soc. Artif. Intell."},{"key":"86_CR20","doi-asserted-by":"crossref","unstructured":"Beymer, D., McLauchlan, P., Coifman, B., Malik, J.: A real-time computer vision system for measuring traffic parameters. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 495\u2013501. IEEE, San Juan, June 1997","DOI":"10.1109\/CVPR.1997.609371"},{"issue":"1","key":"86_CR21","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1109\/6979.994794","volume":"3","author":"S Gupte","year":"2002","unstructured":"Gupte, S., Masoud, O., Martin, R.F., Papanikolopoulos, N.P.: Detection and classification of vehicles. IEEE Trans. Intell. Transp. Syst. 3(1), 37\u201347 (2002)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"86_CR22","doi-asserted-by":"crossref","unstructured":"Lu, X., Izumi, T., Takahashi, T., Wang, L.: Moving vehicle detection based on fuzzy background subtraction. In Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 529\u2013532. IEEE, Beijing (2014)","DOI":"10.1109\/FUZZ-IEEE.2014.6891578"},{"key":"86_CR23","doi-asserted-by":"crossref","unstructured":"Kul, S., Eken, S., Sayar, A.: Measuring the efficiencies of vehicle classification algorithms on traffic surveillance video. In: Proceedings of International Conference on Artificial Intelligence and Data Processing, pp. 1\u20136. IEEE, Malatya (2016)","DOI":"10.1109\/ICITCS.2016.7740330"},{"key":"86_CR24","first-page":"1","volume":"2017","author":"S Kul","year":"2017","unstructured":"Kul, S., Eken, S., Sayar, A.: Distributed and collaborative real-time vehicle detection and classification over the video streams. Int. J. Adv. Robot. Syst. 2017, 1\u201312 (2017)","journal-title":"Int. J. Adv. Robot. Syst."},{"issue":"4","key":"86_CR25","doi-asserted-by":"crossref","first-page":"2247","DOI":"10.1109\/TITS.2015.2402438","volume":"16","author":"Z Dong","year":"2015","unstructured":"Dong, Z., Wu, Y., Pei, M., Jia, Y.: Vehicle type classification using a semisupervised convolutional neural network. IEEE Trans. Intell. Transp. Syst. 16(4), 2247\u20132256 (2015)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"86_CR26","first-page":"1","volume":"2","author":"X Wang","year":"2017","unstructured":"Wang, X., Zhang, W., Wu, X., Xiao, L., Qian, Y., Fang, Z.: Real-time vehicle type classification with deep convolutional neural networks. J. Real-Time Image Process. 2, 1\u201310 (2017)","journal-title":"J. Real-Time Image Process."},{"key":"86_CR27","doi-asserted-by":"crossref","unstructured":"Gao, Y., Lee, H.: Vehicle make recognition based on convolutional neural network. In: Proceedings of ICISS, pp. 1\u20134. IEEE, Seoul (2015)","DOI":"10.1109\/ICISSEC.2015.7371039"},{"key":"86_CR28","doi-asserted-by":"crossref","unstructured":"Lee, J.T., Chung, Y.: Deep learning-based vehicle classification using an ensemble of local expert and global networks. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 920\u2013925. IEEE, Honolulu (2017)","DOI":"10.1109\/CVPRW.2017.127"},{"key":"86_CR29","doi-asserted-by":"crossref","unstructured":"Huo, Z., Xia, Y., Zhang, B.: Vehicle type classification and attribute prediction using multi-task RCNN. In: Proceedings of 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 564\u2013569, Datong (2016)","DOI":"10.1109\/CISP-BMEI.2016.7852774"},{"key":"86_CR30","doi-asserted-by":"crossref","unstructured":"Kim, P.K., Lim, K.T.: Vehicle type classification using bagging and convolutional neural network on multi view surveillance image. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 914\u2013919, Honolulu (2017)","DOI":"10.1109\/CVPRW.2017.126"},{"key":"86_CR31","unstructured":"Tzutalin\/LabelImg. https:\/\/github.com\/tzutalin\/labelImg"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data & Web Technologies"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-75928-9_86","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T00:09:18Z","timestamp":1751414958000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-75928-9_86"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319759272","9783319759289"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-75928-9_86","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2018]]}}}