{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T20:41:25Z","timestamp":1771620085944,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T00:00:00Z","timestamp":1735344000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T00:00:00Z","timestamp":1735344000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Research Start-up Funds of Sichuan Agricultural University","award":["031-2222996009"],"award-info":[{"award-number":["031-2222996009"]}]},{"name":"Research Start-up Funds of Sichuan Agricultural University","award":["031-2222996009"],"award-info":[{"award-number":["031-2222996009"]}]},{"name":"Research Start-up Funds of Sichuan Agricultural University","award":["031-2222996009"],"award-info":[{"award-number":["031-2222996009"]}]},{"name":"Research Start-up Funds of Sichuan Agricultural University","award":["031-2222996009"],"award-info":[{"award-number":["031-2222996009"]}]},{"name":"Innovation and entrepreneurship training program for College Students","award":["202310626029"],"award-info":[{"award-number":["202310626029"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s11760-024-03744-7","type":"journal-article","created":{"date-parts":[[2024,12,28]],"date-time":"2024-12-28T18:04:26Z","timestamp":1735409066000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Swimming-YOLO: a drowning detection method in multi-swimming scenarios based on improved YOLO algorithm"],"prefix":"10.1007","volume":"19","author":[{"given":"Xinhang","family":"Jiang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duoxun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenshen","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,28]]},"reference":[{"issue":"22","key":"3744_CR1","doi-asserted-by":"publisher","first-page":"2102","DOI":"10.1056\/NEJMra1013317","volume":"366","author":"D Szpilman","year":"2012","unstructured":"Szpilman, D., Bierens, J.J., Handley, A.J., Orlowski, J.P.: Drowning. New Eng. J. Med. 366(22), 2102\u20132110 (2012)","journal-title":"New Eng. J. Med."},{"issue":"1","key":"3744_CR2","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.respe.2021.11.020","volume":"70","author":"MA Zaara","year":"2022","unstructured":"Zaara, M.A., Belhaj, A., Naceur, Y., Makni, C., Gharbaoui, M., Bellali, M., Zhioua, M., Allouche, M.: Patterns of unintentional fatal drowning among children in north Tunisia: a 10-year study. Rev. D\u2019epidemiol. Sante Publique 70(1), 31\u201337 (2022)","journal-title":"Rev. D\u2019epidemiol. Sante Publique"},{"key":"3744_CR3","doi-asserted-by":"crossref","unstructured":"Dehbashi, F., Ahmed, N., Mehra, M., Wang, J., Abari, O.: Swimtrack: drowning detection using RFID. In: Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, pp. 161\u2013162 (2019)","DOI":"10.1145\/3342280.3342345"},{"key":"3744_CR4","doi-asserted-by":"crossref","unstructured":"Kulkarni, A., Lakhani, K., Lokhande, S.: A sensor based low cost drowning detection system for human life safety. In: 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (trends and Future directions) (ICRITO), pp. 301\u2013306. IEEE (2016)","DOI":"10.1109\/ICRITO.2016.7784970"},{"key":"3744_CR5","doi-asserted-by":"crossref","unstructured":"Li, K.: Construction method of swimming pool intelligent assisted drowning detection model based on computer feature pyramid networks. In: Journal of Physics: Conference Series, vol. 2137, p. 012065. IOP Publishing (2021)","DOI":"10.1088\/1742-6596\/2137\/1\/012065"},{"key":"3744_CR6","doi-asserted-by":"publisher","first-page":"4219","DOI":"10.1007\/s11760-023-02654-4","volume":"17","author":"J Huo","year":"2023","unstructured":"Huo, J., Shi, B., Zhang, Y.: An object detection method for the work of an unmanned sweeper in a noisy environment on an improved yolo algorithm. Signal Image Video Process. 17, 4219\u20134227 (2023)","journal-title":"Signal Image Video Process."},{"key":"3744_CR7","doi-asserted-by":"crossref","unstructured":"Liu, Q., Zhou, W., Zhang, Y., Fei, X.: Multi-target detection based on multi-sensor redundancy and dynamic weight distribution for driverless cars. In: 2021 International Conference on Communications, Information System and Computer Engineering (CISCE), pp. 229\u2013234. IEEE (2021)","DOI":"10.1109\/CISCE52179.2021.9446002"},{"issue":"28","key":"3744_CR8","doi-asserted-by":"publisher","first-page":"20939","DOI":"10.1007\/s00521-023-08809-1","volume":"35","author":"FM Talaat","year":"2023","unstructured":"Talaat, F.M., ZainEldin, H.: An improved fire detection approach based on YOLO-v8 for smart cities. Neural Comput. Appl. 35(28), 20939\u201320954 (2023)","journal-title":"Neural Comput. Appl."},{"key":"3744_CR9","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"3744_CR10","unstructured":"Lv, W., Xu, S., Zhao, Y., Wang, G., Wei, J., Cui, C., Du, Y., Dang, Q., Liu, Y.: DETRr beat YOLOs on real-time object detection. arXiv preprint arXiv:2304.08069 (2023)"},{"key":"3744_CR11","unstructured":"Wang, C., He, W., Nie, Y., Guo, J., Liu, C., Wang, Y., Han, K.: Gold-YOLO: efficient object detector via gather-and-distribute mechanism. Adv. Neural Inf. Process. Syst. 36 (2024)"},{"issue":"2","key":"3744_CR12","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1109\/TCSVT.2007.913960","volume":"18","author":"H-L Eng","year":"2008","unstructured":"Eng, H.-L., Toh, K.-A., Yau, W.-Y., Wang, J.: DEWS: a live visual surveillance system for early drowning detection at pool. IEEE Trans. Circuits Syst. Video Technol. 18(2), 196\u2013210 (2008)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3744_CR13","doi-asserted-by":"crossref","unstructured":"Zhang, C., Li, X., Lei, F.: A novel camera-based drowning detection algorithm. In: Advances in Image and Graphics Technologies: 10th Chinese Conference, IGTA 2015, Beijing, China, June 19-20, 2015, Proceedings 10, pp. 224\u2013233. Springer (2015)","DOI":"10.1007\/978-3-662-47791-5_26"},{"key":"3744_CR14","doi-asserted-by":"crossref","unstructured":"Palaniappan, L., Subramaniam, S., Kalaiselvi, V., Subha, T.: Drowning detection and prevention system. In: 2022 1st International Conference on Computational Science and Technology (ICCST), pp. 783\u2013785. IEEE (2022)","DOI":"10.1109\/ICCST55948.2022.10040336"},{"issue":"10","key":"3744_CR15","doi-asserted-by":"publisher","first-page":"3823","DOI":"10.3390\/s22103823","volume":"22","author":"E Ka\u0142amajska","year":"2022","unstructured":"Ka\u0142amajska, E., Misiurewicz, J., Weremczuk, J.: Wearable pulse oximeter for swimming pool safety. Sensors 22(10), 3823 (2022)","journal-title":"Sensors"},{"key":"3744_CR16","doi-asserted-by":"crossref","unstructured":"Li, D., Yu, L., Jin, W., Zhang, R., Feng, J., Fu, N.: An improved detection method of human target at sea based on yolov3. In: 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), pp. 100\u2013103, IEEE (2021)","DOI":"10.1109\/ICCECE51280.2021.9342056"},{"key":"3744_CR17","doi-asserted-by":"crossref","unstructured":"He, T., Ye, X., Wang, M.: An improved swimming pool drowning detection method based on yolov8. In: 2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC), vol. 7, pp. 835\u2013839. IEEE (2023)","DOI":"10.1109\/ITOEC57671.2023.10291322"},{"key":"3744_CR18","doi-asserted-by":"crossref","unstructured":"Li, Y., Mao, H., Girshick, R., He, K.: Exploring plain vision transformer backbones for object detection. In: European Conference on Computer Vision, pp. 280\u2013296. Springer (2022)","DOI":"10.1007\/978-3-031-20077-9_17"},{"key":"3744_CR19","doi-asserted-by":"crossref","unstructured":"Chen, H., Yuan, H., Qin, H., Mu, X.: Underwater drowning people detection based on bottleneck transformer and feature pyramid network. In: 2022 IEEE International Conference on Unmanned Systems (ICUS), pp. 1145\u20131150. IEEE(2022)","DOI":"10.1109\/ICUS55513.2022.9986998"},{"issue":"6","key":"3744_CR20","doi-asserted-by":"publisher","first-page":"2861","DOI":"10.18280\/ts.400647","volume":"40","author":"Y Zhang","year":"2023","unstructured":"Zhang, Y., Li, Y., Qu, Q., Lin, H., Seng, D.: Enhancing drowning surveillance with a hybrid vision transformer model: a deep learning approach. Trait. Signal 40(6), 2861\u20132867 (2023)","journal-title":"Trait. Signal"},{"key":"3744_CR21","doi-asserted-by":"crossref","unstructured":"Wang, W., Dai, J., Chen, Z., Huang, Z., Li, Z., Zhu, X., Hu, X., Lu, T., Lu, L., Li, H., et al.: Internimage: Exploring large-scale vision foundation models with deformable convolutions. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 14408\u201314419 (2023)","DOI":"10.1109\/CVPR52729.2023.01385"},{"key":"3744_CR22","doi-asserted-by":"crossref","unstructured":"Xia, Z., Pan, X., Song, S., Li, L.E., Huang, G.: Vision transformer with deformable attention. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4794\u20134803 (2022)","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"3744_CR23","unstructured":"Zhang, H., Xu, C., Zhang, S.: Inner-IoU: more effective intersection over union loss with auxiliary bounding box. arXiv preprint arXiv:2311.02877 (2023)"},{"key":"3744_CR24","unstructured":"Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., et al.: PyTorch: an imperative style, high-performance deep learning library. In: Advances in Neural Information Processing Systems, vol. 32, Curran Associates, Inc (2019)"},{"key":"3744_CR25","doi-asserted-by":"crossref","unstructured":"Lin, T.-Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Doll\u00e1r, P., Zitnick, C.L.: Microsoft coco: common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, pp. 740\u2013755. Springer (2014)","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"3744_CR26","doi-asserted-by":"crossref","unstructured":"Liu, Z., Mao, H., Wu, C.-Y., Feichtenhofer, C., Darrell, T., Xie, S.: A convnet for the 2020s. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11976\u201311986 (2022)","DOI":"10.1109\/CVPR52688.2022.01167"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03744-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-024-03744-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03744-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T15:00:58Z","timestamp":1738335658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-024-03744-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,28]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3744"],"URL":"https:\/\/doi.org\/10.1007\/s11760-024-03744-7","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,28]]},"assertion":[{"value":"8 March 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 November 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 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":"The authors declare that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"161"}}