{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:10:30Z","timestamp":1750219830015,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T00:00:00Z","timestamp":1671148800000},"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":[[2022,12,16]]},"DOI":"10.1145\/3584376.3584479","type":"proceedings-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T22:54:51Z","timestamp":1681944891000},"page":"577-585","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Intelligent vehicle detection and tracking system based on improved artificial intelligence algorithm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2403-9247","authenticated-orcid":false,"given":"Yuxin","family":"Liu","sequence":"first","affiliation":[{"name":"School of Optoelectronic Engineering, Guilin University of Electronic Technology, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7933-3136","authenticated-orcid":false,"given":"Xianming","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Optoelectronic Engineering, Guilin University of Electronic Technology, China"}]}],"member":"320","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-022-01130-z"},{"key":"e_1_3_2_1_2_1","volume-title":"Traffic flow statistics algorithm based on YOLOv3 [C]\/\/2021 International Conference on Communications, Information System and Computer Engineering (CISCE)","author":"PENG F","year":"2021","unstructured":"PENG F , ZHENG L , CUI X , Traffic flow statistics algorithm based on YOLOv3 [C]\/\/2021 International Conference on Communications, Information System and Computer Engineering (CISCE) . IEEE , 2021 : 627-630. PENG F, ZHENG L, CUI X, Traffic flow statistics algorithm based on YOLOv3 [C]\/\/2021 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2021: 627-630."},{"key":"e_1_3_2_1_3_1","volume-title":"CVPR 2001","author":"VIOLA P","year":"2001","unstructured":"VIOLA P , JONES M. Rapid object detection using a boosted cascade of simple features [C]\/\/Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition . CVPR 2001 . Ieee , 2001 , 1: I-I. VIOLA P, JONES M. Rapid object detection using a boosted cascade of simple features [C]\/\/Proceedings of the 2001 IEEE computer society conference on computer vision and pattern recognition. CVPR 2001. Ieee, 2001, 1: I-I."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14122837"},{"issue":"7","key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Survey of deep learning-based object detection algorithms [J]","volume":"48","author":"LI K Q","year":"2022","unstructured":"LI K Q , CHEN Y , LIU J C , Survey of deep learning-based object detection algorithms [J] . Computer Engineering , 2022 , 48 ( 7 ): 1 - 12 . LI K Q, CHEN Y, LIU J C, Survey of deep learning-based object detection algorithms [J]. Computer Engineering, 2022, 48(7): 1-12.","journal-title":"Computer Engineering"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-10711-8"},{"issue":"2","key":"e_1_3_2_1_7_1","first-page":"173","article-title":"Object detection using Faster R-CNN combining improved FPN and relation network [J]","volume":"48","author":"WANG C J","year":"2022","unstructured":"WANG C J , DING Y , LU P C . Object detection using Faster R-CNN combining improved FPN and relation network [J] . Computer Engineering , 2022 , 48 ( 2 ): 173 - 179 . WANG C J, DING Y, LU P C. Object detection using Faster R-CNN combining improved FPN and relation network [J]. Computer Engineering, 2022, 48(2): 173-179.","journal-title":"Computer Engineering"},{"key":"e_1_3_2_1_8_1","volume-title":"You only look once: Unified, real-time object detection [C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition","author":"REDMON J","year":"2016","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_9_1","first-page":"423","volume-title":"Conference on Intelligent Computing. Springer","author":"YOLO","year":"2022","unstructured":"Lu X, Song W. Improved YOLO v5s Model for Vehicle Detection and Recognition [C]\/\/International Conference on Intelligent Computing. Springer , Cham , 2022 , 423 - 434 . Lu X, Song W. Improved YOLOv5s Model for Vehicle Detection and Recognition [C]\/\/International Conference on Intelligent Computing. Springer, Cham, 2022, 423-434."},{"issue":"10","key":"e_1_3_2_1_10_1","first-page":"2888","article-title":"Survey on visual single object tracking based on deep learning [J]","volume":"38","author":"ZHANG C G","year":"2021","unstructured":"ZHANG C G , YANG H T , WANG J Y , Survey on visual single object tracking based on deep learning [J] . Application Research of Computers , 2021 , 38 ( 10 ): 2888 - 2895 . ZHANG C G, YANG H T, WANG J Y, Survey on visual single object tracking based on deep learning [J]. Application Research of Computers, 2021, 38(10): 2888-2895.","journal-title":"Application Research of Computers"},{"key":"e_1_3_2_1_11_1","first-page":"3464","volume-title":"IEEE","author":"BEWLEY A","year":"2016","unstructured":"BEWLEY A , GE Z , OTT L , Simple online and real- time tracking [C]\/\/2016 IEEE international conference on image processing (ICIP) . IEEE , 2016 , 3464 - 3468 . BEWLEY A, GE Z, OTT L, Simple online and real- time tracking [C]\/\/2016 IEEE international conference on image processing (ICIP). IEEE, 2016, 3464-3468."},{"key":"e_1_3_2_1_12_1","first-page":"3645","volume-title":"IEEE","author":"WOJKE N","year":"2017","unstructured":"WOJKE N , BEWLEY A , PAULUS D. Simple online and real time tracking with a deep association metric [C]\/\/2017 IEEE international conference on image processing (ICIP) . IEEE , 2017 , 3645 - 3649 . WOJKE N, BEWLEY A, PAULUS D. Simple online and real time tracking with a deep association metric [C]\/\/2017 IEEE international conference on image processing (ICIP). IEEE, 2017, 3645-3649."},{"issue":"4","key":"e_1_3_2_1_13_1","first-page":"39","article-title":"Research on mask wearing detection method based on YOLOv5 enhancement model [J]","volume":"48","author":"PENG C","year":"2022","unstructured":"PENG C , ZHANG Q H , TANG Z H , Research on mask wearing detection method based on YOLOv5 enhancement model [J] . Computer Engineering , 2022 , 48 ( 4 ): 39 - 49 . PENG C, ZHANG Q H, TANG Z H, Research on mask wearing detection method based on YOLOv5 enhancement model [J]. Computer Engineering, 2022, 48(4): 39-49.","journal-title":"Computer Engineering"},{"volume-title":"Swin transformer: Hierarchical vision transformer using shifted windows [C]\/\/Proceedings of the IEEE\/CVF International Conference on Computer Vision","year":"2021","key":"e_1_3_2_1_14_1","unstructured":"] Liu Z, Lin Y, Cao Y , Swin transformer: Hierarchical vision transformer using shifted windows [C]\/\/Proceedings of the IEEE\/CVF International Conference on Computer Vision . 2021 , 10012-10022. ] Liu Z, Lin Y, Cao Y, Swin transformer: Hierarchical vision transformer using shifted windows [C]\/\/Proceedings of the IEEE\/CVF International Conference on Computer Vision. 2021, 10012-10022."},{"key":"e_1_3_2_1_15_1","first-page":"0920","article-title":"1-9. 2022, 10, 19. http:\/\/kns.cnki.net\/kcms\/detail\/41.1227.","author":"LI J X","year":"2022","unstructured":"LI J X , ZHU W G , YANG Y , Aircraft Targets in SAR Images Based on Improved YOLOv5 [J\/O L]. Electronics Optics & Control : 1-9. 2022, 10, 19. http:\/\/kns.cnki.net\/kcms\/detail\/41.1227. TN. 2022 0920 .1213.002.html. LI J X, ZHU W G, YANG Y, Aircraft Targets in SAR Images Based on Improved YOLOv5 [J\/OL]. Electronics Optics & Control: 1-9. 2022, 10, 19. http:\/\/kns.cnki.net\/kcms\/detail\/41.1227.TN.20220920.1213.002.html.","journal-title":"TN."},{"issue":"05","key":"e_1_3_2_1_16_1","first-page":"271","article-title":"Traffic Monitoring Video Vehicle Volume Statistics Method Based on Improved YOLOv5s+DeepSORT [J]","volume":"58","author":"LI Y S","year":"2022","unstructured":"] LI Y S , MA R G , ZHANG M Y . Traffic Monitoring Video Vehicle Volume Statistics Method Based on Improved YOLOv5s+DeepSORT [J] . Computer Engineering and Applications , 2022 , 58 ( 05 ): 271 - 279 . ] LI Y S, MA R G, ZHANG M Y. Traffic Monitoring Video Vehicle Volume Statistics Method Based on Improved YOLOv5s+DeepSORT [J]. Computer Engineering and Applications, 2022, 58(05): 271-279.","journal-title":"Computer Engineering and Applications"},{"key":"e_1_3_2_1_17_1","first-page":"1","volume-title":"5th International Conference on Computer Science and Application Engineering.","author":"XIANG L","year":"2021","unstructured":"XIANG L , YU Z , HU J , Vehicle Re-Identification and Tracking Based on Video Segmentation [C]\/\/The 5th International Conference on Computer Science and Application Engineering. 2021 , 1 - 6 . XIANG L, YU Z, HU J, Vehicle Re-Identification and Tracking Based on Video Segmentation [C]\/\/The 5th International Conference on Computer Science and Application Engineering. 2021, 1-6."},{"issue":"8","key":"e_1_3_2_1_18_1","first-page":"136","article-title":"Multi-task secure head-detection algorithm based on improved YOLOv5 [J]","volume":"48","author":"MAO Y Q","year":"2022","unstructured":"MAO Y Q , ZHAO K . Multi-task secure head-detection algorithm based on improved YOLOv5 [J] . Computer Engineering , 2022 , 48 ( 8 ): 136 - 143 . MAO Y Q, ZHAO K. Multi-task secure head-detection algorithm based on improved YOLOv5 [J]. Computer Engineering, 2022, 48(8): 136-143.","journal-title":"Computer Engineering"}],"event":{"name":"RICAI 2022: 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","acronym":"RICAI 2022","location":"Dongguan China"},"container-title":["Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584376.3584479","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3584376.3584479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:31Z","timestamp":1750178791000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584376.3584479"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,16]]},"references-count":18,"alternative-id":["10.1145\/3584376.3584479","10.1145\/3584376"],"URL":"https:\/\/doi.org\/10.1145\/3584376.3584479","relation":{},"subject":[],"published":{"date-parts":[[2022,12,16]]},"assertion":[{"value":"2023-04-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}