{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:34Z","timestamp":1750220074104,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T00:00:00Z","timestamp":1679011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,3,17]]},"DOI":"10.1145\/3590003.3590017","type":"proceedings-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T18:22:56Z","timestamp":1685384576000},"page":"73-77","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Helmet wear detection based on YOLOV5"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5482-3566","authenticated-orcid":false,"given":"Jun","family":"Liu","sequence":"first","affiliation":[{"name":"Wuhan Textile University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3135-4990","authenticated-orcid":false,"given":"Jiacheng","family":"Cao","sequence":"additional","affiliation":[{"name":"Wuhan Textile University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9513-1286","authenticated-orcid":false,"given":"Changlong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Wuhan Textile University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,5,29]]},"reference":[{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 2016:  779-788","author":"Redmon J","unstructured":"Redmon J , Divvala S , Girshick R , You only look once: Unified, real-time object detection[C] . Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 779-788 . Redmon J, Divvala S, Girshick R, You only look once: Unified, real-time object detection[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 779-788.","key":"e_1_3_2_1_1_1"},{"volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition. 2017:  7263-7271","author":"Redmon J","unstructured":"Redmon J , Farhadi A. YOLO9000 : better, faster, stronger[C] . Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 7263-7271 Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 7263-7271","key":"e_1_3_2_1_2_1"},{"key":"e_1_3_2_1_3_1","volume-title":"Yolov3: An incremental improvement. arXiv","author":"Redmon J.","year":"2018","unstructured":"Redmon , J. ; Farhadi , A. Yolov3: An incremental improvement. arXiv 2018 , arXiv:1804.02767. Redmon, J.; Farhadi, A. Yolov3: An incremental improvement. arXiv 2018, arXiv:1804.02767."},{"key":"e_1_3_2_1_4_1","volume-title":"Liao H Y M. Yolov4: Optimal speed and accuracy of object detection[J]. arXiv preprint arXiv:2004.10934","author":"Bochkovskiy A","year":"2020","unstructured":"Bochkovskiy A , Wang C Y , Liao H Y M. Yolov4: Optimal speed and accuracy of object detection[J]. arXiv preprint arXiv:2004.10934 , 2020 . Bochkovskiy A, Wang C Y, Liao H Y M. Yolov4: Optimal speed and accuracy of object detection[J]. arXiv preprint arXiv:2004.10934, 2020."},{"key":"e_1_3_2_1_5_1","volume-title":"Available online: https:\/\/github.com\/ultralytics\/yolov5 (accessed on","author":"Ultralytics-Yolov","year":"2022","unstructured":"Ultralytics-Yolov 5. Available online: https:\/\/github.com\/ultralytics\/yolov5 (accessed on 5 June 2022 ). Ultralytics-Yolov5. Available online: https:\/\/github.com\/ultralytics\/yolov5 (accessed on 5 June 2022)."},{"volume-title":"Proceedings of the IEEE\/CVF international conference on computer vision. 2019:  9627-9636","author":"Tian Z","unstructured":"Tian Z , Shen C , Chen H , Fcos : Fully convolutional one-stage object detection[C] . Proceedings of the IEEE\/CVF international conference on computer vision. 2019: 9627-9636 . Tian Z, Shen C, Chen H, Fcos: Fully convolutional one-stage object detection[C]. Proceedings of the IEEE\/CVF international conference on computer vision. 2019: 9627-9636.","key":"e_1_3_2_1_6_1"},{"key":"e_1_3_2_1_7_1","first-page":"10790","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Tan M.","unstructured":"Tan , M. ; Pang , R. ; Le , Q.V. Efficientdet : Scalable and efficient object detection . In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition , Seattle, WA, USA, 13\u201319 June; pp. 10781\u2013 10790 . Tan, M.; Pang, R.; Le, Q.V. Efficientdet: Scalable and efficient object detection. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, 13\u201319 June; pp. 10781\u201310790."},{"key":"e_1_3_2_1_8_1","first-page":"8","article-title":"Research on a surface defect detection algorithm based on MobileNet-SSD","author":"Yiting","year":"2018","unstructured":"LI, Yiting , Research on a surface defect detection algorithm based on MobileNet-SSD . Applied Sciences , 2018 , 8 .9: 1678. LI, Yiting, Research on a surface defect detection algorithm based on MobileNet-SSD. Applied Sciences, 2018, 8.9: 1678.","journal-title":"Applied Sciences"},{"key":"e_1_3_2_1_9_1","first-page":"11","article-title":"Multi-scale safety helmet detection based on SAS-YOLOv3-tiny","author":"Rao","year":"2021","unstructured":"CHENG, Rao , Multi-scale safety helmet detection based on SAS-YOLOv3-tiny . Applied Sciences , 2021 , 11 .8: 3652. CHENG, Rao, Multi-scale safety helmet detection based on SAS-YOLOv3-tiny. Applied Sciences, 2021, 11.8: 3652.","journal-title":"Applied Sciences"},{"key":"e_1_3_2_1_10_1","first-page":"35","volume-title":"2013 28th International conference on image and vision computing New Zealand (IVCNZ 2013","author":"Rattapoom","year":"2013","unstructured":"WARANUSAST, Rattapoom , Machine vision techniques for motorcycle safety helmet detection . In: 2013 28th International conference on image and vision computing New Zealand (IVCNZ 2013 ). IEEE, 2013 . p. 35 - 40 . WARANUSAST, Rattapoom, Machine vision techniques for motorcycle safety helmet detection. In: 2013 28th International conference on image and vision computing New Zealand (IVCNZ 2013). IEEE, 2013. p. 35-40."},{"key":"e_1_3_2_1_11_1","volume-title":"Automatic safety helmet wearing detection. arXiv preprint arXiv:1802.00264","author":"Kang","year":"2018","unstructured":"LI, Kang , Automatic safety helmet wearing detection. arXiv preprint arXiv:1802.00264 , 2018 . LI, Kang, Automatic safety helmet wearing detection. arXiv preprint arXiv:1802.00264, 2018."},{"key":"e_1_3_2_1_12_1","first-page":"1","volume-title":"2019 IEEE Conference on Information and Communication Technology. IEEE","author":"Madhuchhanda BANDYOPADHYAY","year":"2019","unstructured":"DASGUPTA, Madhuchhanda ; BANDYOPADHYAY , Oishila ; CHATTERJI , Sanjay . Automated helmet detection for multiple motorcycle riders using CNN . In: 2019 IEEE Conference on Information and Communication Technology. IEEE , 2019 . p. 1 - 4 . DASGUPTA, Madhuchhanda; BANDYOPADHYAY, Oishila; CHATTERJI, Sanjay. Automated helmet detection for multiple motorcycle riders using CNN. In: 2019 IEEE Conference on Information and Communication Technology. IEEE, 2019. p. 1-4."},{"key":"e_1_3_2_1_13_1","first-page":"282","volume-title":"2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE","year":"2019","unstructured":"ROHITH, C. A. , An efficient helmet detection for MVD using deep learning . In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE , 2019 . p. 282 - 286 . ROHITH, C. A., An efficient helmet detection for MVD using deep learning. In: 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2019. p. 282-286."},{"key":"e_1_3_2_1_14_1","volume-title":"A lightweight YOLOv3 algorithm used for safety helmet detection. Scientific reports","author":"Lixia","year":"2022","unstructured":"DENG, Lixia , A lightweight YOLOv3 algorithm used for safety helmet detection. Scientific reports , 2022 , 12.1: 10981. DENG, Lixia, A lightweight YOLOv3 algorithm used for safety helmet detection. Scientific reports, 2022, 12.1: 10981."},{"key":"e_1_3_2_1_15_1","first-page":"33","article-title":"Detection algorithm of safety helmet wearing based on deep learning","author":"Li","year":"2021","unstructured":"HUANG, Li , Detection algorithm of safety helmet wearing based on deep learning . Concurrency and Computation: Practice and Experience , 2021 , 33 .13: e6234. HUANG, Li, Detection algorithm of safety helmet wearing based on deep learning. Concurrency and Computation: Practice and Experience, 2021, 33.13: e6234.","journal-title":"Concurrency and Computation: Practice and Experience"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1016\/j.aap.2022.106667"},{"key":"e_1_3_2_1_17_1","volume-title":"Large-margin softmax loss for convolutional neural networks. arXiv preprint arXiv:1612.02295","author":"Weiyang","year":"2016","unstructured":"LIU, Weiyang , Large-margin softmax loss for convolutional neural networks. arXiv preprint arXiv:1612.02295 , 2016 . LIU, Weiyang, Large-margin softmax loss for convolutional neural networks. arXiv preprint arXiv:1612.02295, 2016."},{"key":"e_1_3_2_1_18_1","volume-title":"CFUN: Combining faster R-CNN and U-net network for efficient whole heart segmentation. arXiv preprint arXiv:1812.04914","author":"Zhanwei WU","year":"2018","unstructured":"XU, Zhanwei ; WU , Ziyi ; FENG , Jianjiang . CFUN: Combining faster R-CNN and U-net network for efficient whole heart segmentation. arXiv preprint arXiv:1812.04914 , 2018 . XU, Zhanwei; WU, Ziyi; FENG, Jianjiang. CFUN: Combining faster R-CNN and U-net network for efficient whole heart segmentation. arXiv preprint arXiv:1812.04914, 2018."},{"key":"e_1_3_2_1_19_1","volume-title":"Real-time object detection method based on improved YOLOv4-tiny. arXiv preprint arXiv:2011.04244","author":"Zicong","year":"2020","unstructured":"JIANG, Zicong , Real-time object detection method based on improved YOLOv4-tiny. arXiv preprint arXiv:2011.04244 , 2020 . JIANG, Zicong, Real-time object detection method based on improved YOLOv4-tiny. arXiv preprint arXiv:2011.04244, 2020."},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_20_1","DOI":"10.1016\/j.patrec.2018.11.001"},{"key":"e_1_3_2_1_21_1","first-page":"2117","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition.","author":"Tsung-Yi","year":"2017","unstructured":"LIN, Tsung-Yi , Feature pyramid networks for object detection . In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2017 . p. 2117 - 2125 . LIN, Tsung-Yi, Feature pyramid networks for object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2017. p. 2117-2125."}],"event":{"acronym":"CACML 2023","name":"CACML 2023: 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","location":"Shanghai China"},"container-title":["Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590003.3590017","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3590003.3590017","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:16Z","timestamp":1750183756000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3590003.3590017"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,17]]},"references-count":21,"alternative-id":["10.1145\/3590003.3590017","10.1145\/3590003"],"URL":"https:\/\/doi.org\/10.1145\/3590003.3590017","relation":{},"subject":[],"published":{"date-parts":[[2023,3,17]]},"assertion":[{"value":"2023-05-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}