{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T12:03:04Z","timestamp":1742990584023,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030148010"},{"type":"electronic","value":"9783030148027"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-14802-7_58","type":"book-chapter","created":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T23:07:34Z","timestamp":1554160054000},"page":"670-679","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Vehicle Categorical Recognition for Traffic Monitoring in Intelligent Transportation Systems"],"prefix":"10.1007","author":[{"given":"Diem-Phuc","family":"Tran","sequence":"first","affiliation":[]},{"given":"Van-Dung","family":"Hoang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"key":"58_CR1","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (NIPS 2012), vol. 25, pp. 1106\u20131114 (2012)"},{"key":"58_CR2","unstructured":"Amirullah, I., Bakti, R.Y., Areni, I., Alimuddin, A.A.: Vehicle detection and tracking using Gaussian Mixture Model and Kalman filter, pp. 115\u2013119 (2016)"},{"key":"58_CR3","doi-asserted-by":"publisher","first-page":"1797","DOI":"10.1109\/LGRS.2014.2309695","volume":"11","author":"X Chen","year":"2014","unstructured":"Chen, X., Xiang, S., Liu, C.-L., Pan, C.-H.: Vehicle detection in satellite images by hybrid deep convolutional neural networks. IEEE Geosci. Remote Sens. Lett. 11, 1797\u20131801 (2014)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"58_CR4","unstructured":"Chen, Y., Wu, Q.: Moving vehicle detection based on optical flow estimation of edge, pp. 754\u2013758 (2015)"},{"key":"58_CR5","doi-asserted-by":"crossref","unstructured":"Choi, J.-y., Sung, K.-S., Yang, Y.: Multiple vehicles detection and tracking based on scale-invariant feature transform, pp. 528\u2013533 (2007)","DOI":"10.1109\/ITSC.2007.4357684"},{"key":"58_CR6","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-319-70010-6_1","volume-title":"Advances in Visual Informatics","author":"Jorge E. Espinosa","year":"2017","unstructured":"Espinosa, J.E., Velastin, S.A., Branch, J.W.: Vehicle detection using alex net and faster R-CNN deep learning models: a comparative study. In: Badioze Zaman, H., et al. (eds.) Advances in Visual Informatics. IVIC 2017. LNCS, vol. 10645, pp. 3\u201315. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-70010-6_1"},{"key":"58_CR7","unstructured":"da Silva Filho, S.G., Freire, R.Z., dos Santos Coelho, L.: Feature extraction for on-road vehicle detection based on support vector machine. In: Conference Proceedings (2017)"},{"key":"58_CR8","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"58_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"58_CR10","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on ImageNet classification, vol. 1502 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"58_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S, Sun, J.: Deep residual learning for image recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"58_CR12","unstructured":"Koga, Y., Miyazaki, H., Shibasaki, R.: Counting vehicles by deep neural network in high resolution satellite images (2017)"},{"key":"58_CR13","doi-asserted-by":"crossref","unstructured":"Bautista, C.M., Dy, C.A., Manalac, M.I., Orbe, R.A., Cordel II, M.: Convolutional neural network for vehicle detection in low resolution traffic videos, pp. 277\u2013281 (2016)","DOI":"10.1109\/TENCONSpring.2016.7519418"},{"key":"58_CR14","doi-asserted-by":"publisher","first-page":"93","DOI":"10.2478\/ttj-2018-0008","volume":"19","author":"Z Moutakki","year":"2018","unstructured":"Moutakki, Z., Ouloul, M.I., Afdel, K., Amghar, A.: Real-time system based on feature extraction for vehicle detection and classification. Transp. Telecommun. J. 19, 93\u2013102 (2018)","journal-title":"Transp. Telecommun. J."},{"key":"58_CR15","doi-asserted-by":"crossref","unstructured":"Qu, S., Wang, Y., Meng, G., Pan, C.: Vehicle detection in satellite images by incorporating objectness and convolutional neural network (2016)","DOI":"10.18178\/jiii.4.2.158-162"},{"key":"58_CR16","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks, pp. 1\u201310 (2016)"},{"key":"58_CR17","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"58_CR18","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","volume":"39","author":"V Badrinarayanan","year":"2017","unstructured":"Badrinarayanan, V., Kendall, A., Cipolla, R.: SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39, 2481\u20132495 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"58_CR19","doi-asserted-by":"crossref","unstructured":"Yan, G., Ming, Y., Yu, Y., Fan, L.: Real-time vehicle detection using histograms of oriented gradients and AdaBoost classification (2016)","DOI":"10.1016\/j.ijleo.2016.05.092"},{"key":"58_CR20","unstructured":"Y\u0131lmaz, A., Guzel, M., Askerbeyli, I., Bostanci, E.: A vehicle detection approach using deep learning methodologies (2018)"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14802-7_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T13:00:18Z","timestamp":1710334818000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14802-7_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030148010","9783030148027"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14802-7_58","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yogyakarta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}