{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:47:18Z","timestamp":1742996838637,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030897000"},{"type":"electronic","value":"9783030897017"}],"license":[{"start":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T00:00:00Z","timestamp":1636416000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T00:00:00Z","timestamp":1636416000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-89701-7_4","type":"book-chapter","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T07:03:33Z","timestamp":1636355013000},"page":"40-48","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Vehicle Detection Algorithm Based on Improved YOLO"],"prefix":"10.1007","author":[{"given":"Jinjing","family":"Hu","sequence":"first","affiliation":[]},{"given":"Quan","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Zicheng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Wenze","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Hansong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Zhihui","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Ji","sequence":"additional","affiliation":[]},{"given":"Neng","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Chuanbo","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Chuanbo","family":"Hong","sequence":"additional","affiliation":[]},{"given":"Wenjie","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Chang","family":"Kuo-Chi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,11,9]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Wu, Y., Feng, S., Huang, X., et al.: L4Net: an anchor\u2010free generic object detector with attention mechanism for autonomous driving. IET Comput. Vis. 15(1) (2021)","DOI":"10.1049\/cvi2.12015"},{"issue":"8","key":"4_CR2","doi-asserted-by":"publisher","first-page":"3209","DOI":"10.1007\/s00521-020-05192-z","volume":"33","author":"M Zhai","year":"2020","unstructured":"Zhai, M., Xiang, X.: Geometry understanding from autonomous driving scenarios based on feature refinement. Neural Comput. Appl. 33(8), 3209\u20133220 (2020). https:\/\/doi.org\/10.1007\/s00521-020-05192-z","journal-title":"Neural Comput. Appl."},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Korpela, J., Suzuki, H., Matsumoto, S., et al.: Machine learning enables improved runtime and precision for bio-loggers on seabirds. Commun. Biol. 3(1) (2020)","DOI":"10.1038\/s42003-020-01356-8"},{"key":"4_CR4","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Rubio, E., Molina-Cabello, M.A., Castro, F.M., et al.: Anomalous object detection by active search with PTZ cameras. Expert Syst. Appl. 181, 115150 (2021)","DOI":"10.1016\/j.eswa.2021.115150"},{"key":"4_CR5","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1016\/j.neucom.2021.05.001","volume":"455","author":"I Ullah","year":"2021","unstructured":"Ullah, I., Jian, M., Hussain, S., et al.: Global context-aware multi-scale features aggregative network for salient object detection. Neurocomputing 455, 139\u2013153 (2021)","journal-title":"Neurocomputing"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Diego, USA, 20\u201325 June 2005, pp. 886\u2013893. IEEE, New York (2005)","DOI":"10.1109\/CVPR.2005.177"},{"key":"4_CR7","unstructured":"Meng, Q.: Face Detection Based on Haar Feature Probability Distribution and SVM, pp. 14\u201321. East China Normal University, Shanghai (2008)"},{"key":"4_CR8","doi-asserted-by":"crossref","unstructured":"Bautista, C.M., Dy, C.A., Manalac, M.I., et al.: Convolutional neural network for vehicle detection in low resolution traffic videos. In: 2016 IEEE Region 10 Symposium, Bali, pp. 277\u2013281. IEEE (2016)","DOI":"10.1109\/TENCONSpring.2016.7519418"},{"key":"4_CR9","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., et al.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: 2014 IEEE Conference on Computer Vision and Pattern Recognition, USA, pp. 580\u2013587. IEEE Computer Society (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Uijlings, J.R., van de Sande, K.E., Gevers, T., et al.: Selective search for object recognition. Int. J. Comput. Vis. 104(2), 154\u2013171 (2013)","DOI":"10.1007\/s11263-013-0620-5"},{"key":"4_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Rens, S., et al.: Spatial pyramid pooling in deep convolutional networks for visual recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(9), 346\u2013361 (2014)","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"4_CR12","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: Proceedings of 2015 IEEE International Conference on Computer Vision, Santiago, pp. 10\u201315. IEEE (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"4_CR13","unstructured":"Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of the 28th International Conference on Neural Information Processing Systems, Montreal, pp. 1\u201315. MIT Press (2015)"},{"key":"4_CR14","unstructured":"Dai, F., Li, Y., He, K.M., et al.: R-FCN: object detection via region-based fully convolutional networks. In: Proceedings of the 30th International Conference on Neural Information Processing Systems, Barcelona, pp. 379\u2013387. Curran Associates Inc. (2016)"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., et al.: You only look once: unified, real-time object detection [EB\/OL], 11 July 2015","DOI":"10.1109\/CVPR.2016.91"},{"key":"4_CR16","series-title":"LNCS","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/978-3-319-46448-0_2","volume-title":"Computer Vision, ECCV 2016","author":"W Liu","year":"2016","unstructured":"Liu, W., et al.: SSD: single shot multibox detector. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) Computer Vision, ECCV 2016. LNCS, vol. 9905, pp. 21\u201337. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46448-0_2"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Shafiee, M.J., Chywl, B., Li, F., et al.: Fast YOLO: a fast you only look once system for real-time embedded object detection in video. arXiv:1709.05943 (2017)","DOI":"10.15353\/vsnl.v3i1.171"},{"issue":"4","key":"4_CR18","first-page":"246","volume":"40","author":"Y Li","year":"2019","unstructured":"Li, Y., Hou, L., Wang, C.: Moving object detection in automatic driving based on YOLOV3. Comput. Eng. Des. 40(4), 246\u2013251 (2019)","journal-title":"Comput. Eng. Des."},{"issue":"6","key":"4_CR19","first-page":"1663","volume":"39","author":"B Liu","year":"2019","unstructured":"Liu, B., Wang, S., Zhao, J., et al.: Ship tracking recognition based on darknet network and YOLOV3 algorithm. Comput. Appl. 39(6), 1663\u20131668 (2019)","journal-title":"Comput. Appl."},{"key":"4_CR20","unstructured":"Wen, L., Du, D., Cai, Z., et al.: DETRAC: new benchmark and protocol for multi-object detection and tracking [EB\/OL], 03 November 2015. https:\/\/www.researchgate.net\/publication\/283986610_UA-DETRAC_A_New_Benchmark, and Protocol for Multi-Object Detection and Tracking"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., et al.: Deep residual learning for image recognition. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, pp. 770\u2013778. IEEE (2015)","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-89701-7_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T18:19:09Z","timestamp":1726078749000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-89701-7_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,9]]},"ISBN":["9783030897000","9783030897017"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-89701-7_4","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2021,11,9]]},"assertion":[{"value":"9 November 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AISI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Intelligent Systems and Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aisi2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}