{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T13:59:23Z","timestamp":1785765563873,"version":"3.56.0"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T00:00:00Z","timestamp":1720828800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T00:00:00Z","timestamp":1720828800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11760-024-03404-w","type":"journal-article","created":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T15:01:38Z","timestamp":1720882898000},"page":"7419-7429","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["LV-YOLO: logistic vehicle speed detection and counting using deep learning based YOLO network"],"prefix":"10.1007","volume":"18","author":[{"given":"N. Gopika","family":"Rani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N. Hema","family":"Priya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Ahilan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"N.","family":"Muthukumaran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,7,13]]},"reference":[{"key":"3404_CR1","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/2019257","author":"Y Chen","year":"2022","unstructured":"Chen, Y., Li, Z.: An effective approach of vehicle detection using deep learning. Comput. Intell. Neurosci. (2022). https:\/\/doi.org\/10.1155\/2022\/2019257","journal-title":"Comput. Intell. Neurosci."},{"key":"3404_CR2","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1007\/s00034-019-01224-9","volume":"39","author":"A Appathurai","year":"2020","unstructured":"Appathurai, A., Sundarasekar, R., Raja, C., Alex, E.J., Palagan, C.A., Nithya, A.: An efficient optimal neural network-based moving vehicle detection in traffic video surveillance system. Circuits Syst. Signal Process. 39, 734\u2013756 (2020). https:\/\/doi.org\/10.1007\/s00034-019-01224-9","journal-title":"Circuits Syst. Signal Process."},{"issue":"5","key":"3404_CR3","doi-asserted-by":"publisher","first-page":"3059","DOI":"10.3390\/app13053059","volume":"13","author":"A Farid","year":"2023","unstructured":"Farid, A., Hussain, F., Khan, K., Shahzad, M., Khan, U., Mahmood, Z.: A fast and accurate real-time vehicle detection method using deep learning for unconstrained environments. Appl. Sci. 13(5), 3059 (2023). https:\/\/doi.org\/10.3390\/app13053059","journal-title":"Appl. Sci."},{"issue":"23","key":"3404_CR4","doi-asserted-by":"publisher","first-page":"18195","DOI":"10.1007\/s00500-023-09278-3","volume":"27","author":"Q Wu","year":"2023","unstructured":"Wu, Q., Li, X., Wang, K., Bilal, H.: Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles. Soft. Comput. 27(23), 18195\u201318213 (2023). https:\/\/doi.org\/10.1007\/s00500-023-09278-3","journal-title":"Soft. Comput."},{"key":"3404_CR5","doi-asserted-by":"publisher","unstructured":"Alhuthali, S.A.H., Zia, M.Y.I., Rashid, M.: A simplified traffic flow monitoring system using computer vision techniques. In: 2022 2nd international conference on computing and information technology (ICCIT). IEEE, 167\u2013170 (2022). https:\/\/doi.org\/10.1109\/iccit52419.2022.9711550","DOI":"10.1109\/iccit52419.2022.9711550"},{"issue":"20","key":"3404_CR6","doi-asserted-by":"publisher","first-page":"28347","DOI":"10.1007\/s11042-022-12715-4","volume":"81","author":"M Othmani","year":"2022","unstructured":"Othmani, M.: A vehicle detection and tracking method for traffic video based on faster R-CNN. Multimed. Tools Appl. 81(20), 28347\u201328365 (2022). https:\/\/doi.org\/10.1007\/s11042-022-12715-4","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"3404_CR7","doi-asserted-by":"publisher","first-page":"2120","DOI":"10.3390\/s23042120","volume":"23","author":"A Ammar","year":"2023","unstructured":"Ammar, A., Koubaa, A., Boulila, W., Benjdira, B., Alhabashi, Y.: A multi-stage deep-learning-based vehicle and license plate recognition system with real-time edge inference. Sensors 23(4), 2120 (2023). https:\/\/doi.org\/10.3390\/s23042120","journal-title":"Sensors"},{"key":"3404_CR8","doi-asserted-by":"publisher","first-page":"2993","DOI":"10.1109\/access.2023.3234281","volume":"11","author":"AA Rafique","year":"2023","unstructured":"Rafique, A.A., Al-Rasheed, A., Ksibi, A., Ayadi, M., Jalal, A., Alnowaiser, K., Meshref, H., Shorfuzzaman, M., Gochoo, M., Park, J.: Smart traffic monitoring through pyramid pooling vehicle detection and filter-based tracking on aerial images. IEEE Access 11, 2993\u20133007 (2023). https:\/\/doi.org\/10.1109\/access.2023.3234281","journal-title":"IEEE Access"},{"issue":"4","key":"3404_CR9","doi-asserted-by":"publisher","first-page":"487","DOI":"10.3390\/e24040487","volume":"24","author":"Y Gu","year":"2022","unstructured":"Gu, Y., Si, B.: A novel lightweight real-time traffic sign detection integration framework based on YOLOv4. Entropy 24(4), 487 (2022). https:\/\/doi.org\/10.3390\/e24040487","journal-title":"Entropy"},{"issue":"01","key":"3404_CR10","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1145\/3484824.3484903","volume":"01","author":"K Gayathri","year":"2023","unstructured":"Gayathri, K., Ajitha Gladis, K.P., Angel Mary, A.: Real time masked face recognition using deep learning based yolov4 network. Int. J. Data Sci. Artif. Intell. 01(01), 26\u201332 (2023). https:\/\/doi.org\/10.1145\/3484824.3484903","journal-title":"Int. J. Data Sci. Artif. Intell."},{"key":"3404_CR11","doi-asserted-by":"publisher","first-page":"102917","DOI":"10.1016\/j.cose.2022.102917","volume":"123","author":"T Hussain","year":"2022","unstructured":"Hussain, T., Yang, B., Rahman, H.U., Iqbal, A., Ali, F.: Improving source location privacy in social internet of things using a hybrid phantom routing technique. Comput. Secur. 123, 102917 (2022). https:\/\/doi.org\/10.1016\/j.cose.2022.102917","journal-title":"Comput. Secur."},{"issue":"3","key":"3404_CR12","doi-asserted-by":"publisher","first-page":"462","DOI":"10.29207\/resti.v4i3.1871","volume":"4","author":"M Fachrie","year":"2020","unstructured":"Fachrie, M.: A simple vehicle counting system using deep learning with YOLOv3 model. J. RESTI (Rekayasa Sistem Dan Teknologi Informasi) 4(3), 462\u2013468 (2020). https:\/\/doi.org\/10.29207\/resti.v4i3.1871","journal-title":"J. RESTI (Rekayasa Sistem Dan Teknologi Informasi)"},{"issue":"12","key":"3404_CR13","doi-asserted-by":"publisher","first-page":"2012","DOI":"10.3390\/sym12122012","volume":"12","author":"J Kim","year":"2020","unstructured":"Kim, J.: Vehicle detection using deep learning technique in tunnel road environments. Symmetry 12(12), 2012 (2020). https:\/\/doi.org\/10.3390\/sym12122012","journal-title":"Symmetry"},{"key":"3404_CR14","doi-asserted-by":"publisher","first-page":"17417","DOI":"10.1007\/s00500-020-05042-z","volume":"24","author":"D Sudha","year":"2020","unstructured":"Sudha, D., Priyadarshini, J.: An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm. Soft. Comput. 24, 17417\u201317429 (2020). https:\/\/doi.org\/10.1007\/s00500-020-05042-z","journal-title":"Soft. Comput."},{"key":"3404_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2022.3232153","author":"C Chen","year":"2023","unstructured":"Chen, C., Wang, C., Liu, B., He, C., Cong, L., Wan, S.: Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles. IEEE Trans. Intell. Transp. Syst. (2023). https:\/\/doi.org\/10.1109\/tits.2022.3232153","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3404_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s40747-023-01338-3","author":"K Zaman","year":"2023","unstructured":"Zaman, K., Zhaoyun, S., Shah, B., Hussain, T., Shah, S.M., Ali, F., Khan, U.S.: A novel driver emotion recognition system based on deep ensemble classification. Complex Intell. Syst. (2023). https:\/\/doi.org\/10.1007\/s40747-023-01338-3","journal-title":"Complex Intell. Syst."},{"issue":"1","key":"3404_CR17","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1007\/s10586-021-03502-1","volume":"26","author":"A Azhar","year":"2023","unstructured":"Azhar, A., Rubab, S., Khan, M.M., Bangash, Y.A., Alshehri, M.D., Illahi, F., Bashir, A.K.: Detection and prediction of traffic accidents using deep learning techniques. Clust. Comput. 26(1), 477\u2013493 (2023). https:\/\/doi.org\/10.1007\/s10586-021-03502-1","journal-title":"Clust. Comput."},{"key":"3404_CR18","doi-asserted-by":"publisher","unstructured":"Karthi, S.P., RL, A.R., Buvanesh, K.K., Amalan, E. and Harishkumar, S.: Electric vehicle speed control with traffic sign detection using deep learning. In: 2022 international conference on advanced computing technologies and applications (ICACTA). IEEE, 1\u20136 (2022). https:\/\/doi.org\/10.1109\/icacta54488.2022.9753624","DOI":"10.1109\/icacta54488.2022.9753624"},{"key":"3404_CR19","unstructured":"Jiao, X., Wang, Z., Zhang, Z.: Vehicle speed prediction using a combined neural network of convolution and gated recurrent unit with attention."},{"key":"3404_CR20","doi-asserted-by":"crossref","unstructured":"Li, Y., Wu, C., Yoshinaga, T.: Vehicle speed prediction with convolutional neural networks for ITS. In: 2020 IEEE\/cic international conference on communications in China (ICCC workshops). IEEE, 41\u201346 (2022)","DOI":"10.1109\/ICCCWorkshops49972.2020.9209912"},{"key":"3404_CR21","doi-asserted-by":"crossref","unstructured":"Cvijeti\u0107, A., Djukanovi\u0107, S., Perunicic, A.: Deep learning-based vehicle speed estimation using the YOLO detector and 1D-CNN. In: 2023 27th international conference on information technology (IT). IEEE, 1\u20134 (2023)","DOI":"10.1109\/IT57431.2023.10078518"},{"issue":"3","key":"3404_CR22","doi-asserted-by":"publisher","first-page":"131","DOI":"10.3390\/bdcc7030131","volume":"7","author":"X Tian","year":"2023","unstructured":"Tian, X., Zheng, Q., Yu, Z., Yang, M., Ding, Y., Elhanashi, A., Saponara, S., Kpalma, K.: A real-time vehicle speed prediction method based on a lightweight informer driven by big temporal data. Big Data Cogn. Comput. 7(3), 131 (2023)","journal-title":"Big Data Cogn. Comput."},{"key":"3404_CR23","doi-asserted-by":"publisher","unstructured":"Muthukumaran, N., Kumar, C., Joshua Samuel Raj, R., Andrew Roobert, A.: Grey wolf optimized Pi controller for high gain SEPIC converter for PV application. In: 2023 international conference on sustainable communication networks and application (ICSCNA), Theni, India, 1032\u20131035 (2023). https:\/\/doi.org\/10.1109\/ICSCNA58489.2023.10370322.","DOI":"10.1109\/ICSCNA58489.2023.10370322"},{"key":"3404_CR24","doi-asserted-by":"publisher","unstructured":"Ramaswamy, S., Joe Patrick Gnanaraj, S., Chandra Sekar, K., Muthukumaran, N.: Analysis of distribution line in link with substation using gsm technology. In: 2023 international conference on sustainable communication networks and application (ICSCNA), Theni, India, 526\u2013528 (2023). https:\/\/doi.org\/10.1109\/ICSCNA58489.2023.10370197","DOI":"10.1109\/ICSCNA58489.2023.10370197"},{"issue":"01","key":"3404_CR25","first-page":"10","volume":"01","author":"M Prabhu","year":"2023","unstructured":"Prabhu, M., Revathy, G., Raja Kumar, R.: Deep learning based authentication secure data storing in cloud computing. Int. J. Comput. Eng. Optim. 01(01), 10\u201314 (2023)","journal-title":"Int. J. Comput. Eng. Optim."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03404-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03404-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03404-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T10:32:28Z","timestamp":1723285948000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03404-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,13]]},"references-count":25,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["3404"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03404-w","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,13]]},"assertion":[{"value":"12 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 June 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This paper has no conflict of interest for publishing.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"My research guide reviewed and ethically approved this manuscript for publishing in this Journal.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This article does not contain any studies with human or animal subjects performed by any of the authors.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and animal rights"}},{"value":"I certify that I have explained the nature and purpose of this study to the above-named individual, and I have discussed the potential benefits of this study participation. The questions the individual had about this study have been answered, and we will always be available to address future questions.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}