{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:43Z","timestamp":1750220023544,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"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":[[2022,9,28]]},"DOI":"10.1145\/3568364.3568368","type":"proceedings-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T16:44:55Z","timestamp":1671813895000},"page":"20-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Vehicle Tracking Method Based on Pyramid Layered Optical Flow Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5896-1128","authenticated-orcid":false,"given":"Jingya","family":"Cheng","sequence":"first","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0006-2044","authenticated-orcid":false,"given":"Zhiqiang","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China and \rInner Mongolia Autonomous Region Engineering Technology Research Centre of Big Data Based Software Service, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8886-9592","authenticated-orcid":false,"given":"Caijilahu","family":"Bao","sequence":"additional","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7801-4558","authenticated-orcid":false,"given":"Wenjun","family":"Gao","sequence":"additional","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5137-4008","authenticated-orcid":false,"given":"Leixiao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1990-8583","authenticated-orcid":false,"given":"Hongbin","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Data Science and Application, Inner Mongolia University of Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,12,23]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"MENG K. 2018.Vehicle behavior recognition method based on surveillance video. Hubei: Wuhan University of Technology MENG K. 2018.Vehicle behavior recognition method based on surveillance video. Hubei: Wuhan University of Technology"},{"issue":"1","key":"e_1_3_2_1_2_1","first-page":"10","article-title":"Research on abnormal driving behavior recognition of key commercial vehicles","volume":"22","year":"2022","unstructured":"ZHAO J D, CHEN Q, JIAO Y L , 2022 . Research on abnormal driving behavior recognition of key commercial vehicles . Transportation Systems Engineering and Information , 22 ( 1 ): 10 . ZHAO J D, CHEN Q, JIAO Y L, 2022. Research on abnormal driving behavior recognition of key commercial vehicles. Transportation Systems Engineering and Information,22(1):10.","journal-title":"Transportation Systems Engineering and Information"},{"key":"e_1_3_2_1_3_1","unstructured":"IEEE Transactions on Intelligent Transportation Systems PP(99):1-12. 2019 Manifold siamese network: a novel visual tracking convnet for autonomous vehicles"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"WANG X. 2013. Intelligent multi-camera video surveillance: a review. Pattern Recognition Letters.  WANG X. 2013. Intelligent multi-camera video surveillance: a review. Pattern Recognition Letters.","DOI":"10.1016\/j.patrec.2012.07.005"},{"key":"e_1_3_2_1_5_1","volume-title":"Deep learning for visual tracking: a comprehensive survey. arXiv","author":"Marvasti-Zadeh L","year":"2019","unstructured":"SM Marvasti-Zadeh , L Cheng , H Ghanei-Yakhdan , S Kasaei . 2019. Deep learning for visual tracking: a comprehensive survey. arXiv , 2019 . SM Marvasti-Zadeh, L Cheng, H Ghanei-Yakhdan, S Kasaei. 2019. Deep learning for visual tracking: a comprehensive survey. arXiv, 2019."},{"issue":"1","key":"e_1_3_2_1_6_1","first-page":"012144","article-title":"Vehicle speed detection based on gaussian mixture model using sequential of images","volume":"890","author":"SOETRISNO.","year":"2017","unstructured":"SETIYONO B, SULISTYANINGRUM D R, SOETRISNO. 2017 . Vehicle speed detection based on gaussian mixture model using sequential of images . Journal of Physics Conference , 890 ( 1 ): 012144 . SETIYONO B, SULISTYANINGRUM D R, SOETRISNO.2017. Vehicle speed detection based on gaussian mixture model using sequential of images. Journal of Physics Conference, 890(1):012144.","journal-title":"Journal of Physics Conference"},{"volume-title":"Vehicle speed measurement based on binocular stereovision system","author":"Yang L.","key":"e_1_3_2_1_7_1","unstructured":"Yang , L. , Li , M. , Song , X. , Xiong , Z. , Hou , C. , Qu , B. . 2019. Vehicle speed measurement based on binocular stereovision system . IEEE Access . Yang, L. , Li, M. , Song, X. , Xiong, Z. , Hou, C. , Qu, B. . 2019. Vehicle speed measurement based on binocular stereovision system. IEEE Access."},{"volume-title":"International Conference on Computer Engineering, Network and Intelligent Multimedia. 0.","year":"2019","key":"e_1_3_2_1_8_1","unstructured":"KURNIAWAN A, RAMADLAN A, YUNIARNO E M. 2019 . Speed monitoring for multiple vehicle using closed circuit television (cctv) camera . International Conference on Computer Engineering, Network and Intelligent Multimedia. 0. KURNIAWAN A, RAMADLAN A, YUNIARNO E M. 2019. Speed monitoring for multiple vehicle using closed circuit television (cctv) camera. International Conference on Computer Engineering, Network and Intelligent Multimedia. 0."},{"volume-title":"Speed estimation and abnormality detection from surveillance cameras\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","author":"Giannakeris P","key":"e_1_3_2_1_9_1","unstructured":"Giannakeris P , Kaltsa V , Avgerinakis K , Briassouli A. 2018. I Kompatsiaris . Speed estimation and abnormality detection from surveillance cameras\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . IEEE. Giannakeris P, Kaltsa V, Avgerinakis K, Briassouli A. 2018. I Kompatsiaris. Speed estimation and abnormality detection from surveillance cameras\/\/ 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE."},{"key":"e_1_3_2_1_10_1","first-page":"1","article-title":"Study on a real-time vehicle speed measuring method at highway toll station[C]\/\/2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI)","author":"Jiang J","year":"2019","unstructured":"Jiang J , Mi C , Wu M , Zhang Z , Feng Y. 2019 . Study on a real-time vehicle speed measuring method at highway toll station[C]\/\/2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI) . IEEE : 1 - 5 . Jiang J, Mi C, Wu M, Zhang Z, Feng Y. 2019. Study on a real-time vehicle speed measuring method at highway toll station[C]\/\/2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI). IEEE: 1-5.","journal-title":"IEEE"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"e_1_3_2_1_12_1","volume-title":"International Conference","author":"Geist M","year":"2009","unstructured":"Geist M , Pietquin O , Fricout G. 2009 . Tracking in reinforcement learning.Neural Information Processing , International Conference , Iconip, Bangkok, Thailand, December. DBLP Geist M , Pietquin O , Fricout G. 2009. Tracking in reinforcement learning.Neural Information Processing, International Conference, Iconip, Bangkok, Thailand, December. DBLP"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2203621"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Xie C Xiang Y Harchaoui Z Fox D. 2018. Object discovery in videos as foreground motion clustering.  Xie C Xiang Y Harchaoui Z Fox D. 2018. Object discovery in videos as foreground motion clustering.","DOI":"10.1109\/CVPR.2019.01023"},{"issue":"1","key":"e_1_3_2_1_15_1","first-page":"140","article-title":"Motion segmentation & multiple object tracking by correlation co-clustering","volume":"42","author":"KeuperMargret","year":"2019","unstructured":"] KeuperMargret , TangSiyu, AndresBjoern , BroxThomas, SchieleBernt . . 2019 . Motion segmentation & multiple object tracking by correlation co-clustering . IEEE Transactions on Pattern Analysis and Machine Intelligence , 42 ( 1 ), 140 - 153 . ]KeuperMargret, TangSiyu, AndresBjoern, BroxThomas, SchieleBernt. .2019. Motion segmentation & multiple object tracking by correlation co-clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(1), 140-153.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_1_16_1","volume-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE.","author":"Zhang J","year":"2020","unstructured":"Zhang J , Zhou S , Chang X , Wan F , Huang D. 2020 . Multiple object tracking by flowing and fusing . 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. Zhang J, Zhou S, Chang X, Wan F, Huang D. 2020. Multiple object tracking by flowing and fusing. 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE."},{"volume-title":"High-speed tracking-by-detection without using image information.International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS","year":"2017","key":"e_1_3_2_1_17_1","unstructured":"BOCHINSKI E, EISELEIN V, SIKORA T. 2017. High-speed tracking-by-detection without using image information.International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017 . IEEE. BOCHINSKI E, EISELEIN V, SIKORA T. 2017. High-speed tracking-by-detection without using image information.International Workshop on Traffic and Street Surveillance for Safety and Security at IEEE AVSS 2017. IEEE."},{"volume-title":"Extending IOU Based Multi-Object Tracking by Visual Information","author":"Bochinski E","key":"e_1_3_2_1_18_1","unstructured":"Bochinski E , Senst T , Sikora T. 2018. Extending IOU Based Multi-Object Tracking by Visual Information .IEEE International Conference on Advanced Video and Signals-based Surveillance. IEEE. Bochinski E , Senst T , Sikora T. 2018. Extending IOU Based Multi-Object Tracking by Visual Information.IEEE International Conference on Advanced Video and Signals-based Surveillance. IEEE."},{"volume-title":"Simple online and realtime tracking with a deep association metric.2017 IEEE International Conference on Image Processing (ICIP)","key":"e_1_3_2_1_19_1","unstructured":"WOJKE N, BEWLEY A, PAULUS D. 2017. Simple online and realtime tracking with a deep association metric.2017 IEEE International Conference on Image Processing (ICIP) . IEEE. WOJKE N, BEWLEY A, PAULUS D. 2017. Simple online and realtime tracking with a deep association metric.2017 IEEE International Conference on Image Processing (ICIP). IEEE."},{"key":"e_1_3_2_1_20_1","unstructured":"Zhan Y Wang C Wang X A simple baseline for multi-object tracking.  Zhan Y Wang C Wang X A simple baseline for multi-object tracking."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00103"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00803"},{"volume-title":"Transformer meets tracker: exploiting temporal context for robust visual tracking2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","author":"Wang N","key":"e_1_3_2_1_23_1","unstructured":"Wang N , Zhou W , Wang J , Li H. 2021. Transformer meets tracker: exploiting temporal context for robust visual tracking2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . IEEE. Wang N, Zhou W, Wang J, Li H. 2021. Transformer meets tracker: exploiting temporal context for robust visual tracking2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.102907"}],"event":{"name":"WSSE 2022: 2022 The 4th World Symposium on Software Engineering","acronym":"WSSE 2022","location":"Xiamen China"},"container-title":["Proceedings of the 4th World Symposium on Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568364.3568368","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3568364.3568368","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:51:33Z","timestamp":1750182693000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3568364.3568368"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,28]]},"references-count":24,"alternative-id":["10.1145\/3568364.3568368","10.1145\/3568364"],"URL":"https:\/\/doi.org\/10.1145\/3568364.3568368","relation":{},"subject":[],"published":{"date-parts":[[2022,9,28]]},"assertion":[{"value":"2022-12-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}