{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:14:32Z","timestamp":1750220072747,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"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":[[2023,1,6]]},"DOI":"10.1145\/3582649.3582666","type":"proceedings-article","created":{"date-parts":[[2023,4,7]],"date-time":"2023-04-07T16:23:28Z","timestamp":1680884608000},"page":"230-236","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A New Track Association Algorithm for Distributed Sensor Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4940-2073","authenticated-orcid":false,"given":"Zhongdi","family":"Liu","sequence":"first","affiliation":[{"name":"Hangzhou Applied Acoustics Research Institute, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3797-0521","authenticated-orcid":false,"given":"Pengfei","family":"Shao","sequence":"additional","affiliation":[{"name":"Hangzhou Applied Acoustics Research Institute, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9493-9275","authenticated-orcid":false,"given":"Bin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hangzhou Applied Acoustics Research Institute, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2660-8722","authenticated-orcid":false,"given":"Yannan","family":"Wu","sequence":"additional","affiliation":[{"name":"Hangzhou Applied Acoustics Research Institute, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,4,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Track-to-track association using fuzzy membership function and clustering for distributed information fusion[C]\/\/2018 37th Chinese Control Conference (CCC)","author":"Hong S","year":"2018","unstructured":"Hong S , Peng D , Shi Y. Track-to-track association using fuzzy membership function and clustering for distributed information fusion[C]\/\/2018 37th Chinese Control Conference (CCC) . IEEE , 2018 : 4028-4032. Hong S, Peng D, Shi Y. Track-to-track association using fuzzy membership function and clustering for distributed information fusion[C]\/\/2018 37th Chinese Control Conference (CCC). IEEE, 2018: 4028-4032."},{"issue":"4","key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","first-page":"4211","DOI":"10.1109\/TSG.2018.2853678","article-title":"A new method to improve fault location accuracy in transmission line based on fuzzy multi-sensor data fusion[J]","volume":"10","author":"Jiao Z","year":"2018","unstructured":"Jiao Z , Wu R . A new method to improve fault location accuracy in transmission line based on fuzzy multi-sensor data fusion[J] . IEEE Transactions on Smart Grid , 2018 , 10 ( 4 ): 4211 - 4220 . Jiao Z, Wu R. A new method to improve fault location accuracy in transmission line based on fuzzy multi-sensor data fusion[J]. IEEE Transactions on Smart Grid, 2018, 10(4): 4211-4220.","journal-title":"IEEE Transactions on Smart Grid"},{"key":"e_1_3_2_1_3_1","first-page":"2078","article-title":"Track Association Method Based on Target Mutual-Support of Topology[C]\/\/2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)","volume":"9","author":"Wu H","year":"2020","unstructured":"Wu H , Li L , Zhang K . Track Association Method Based on Target Mutual-Support of Topology[C]\/\/2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC) . IEEE , 2020 , 9 : 2078 - 2082 . Wu H, Li L, Zhang K. Track Association Method Based on Target Mutual-Support of Topology[C]\/\/2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020, 9: 2078-2082.","journal-title":"IEEE"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.neucom.2017.11.060","article-title":"Fuzzy logic approach to visual multi-object tracking[J]","volume":"281","author":"Liang L","year":"2018","unstructured":"Liang -qun L , Xi -yang Z , Zong -xiang L , Fuzzy logic approach to visual multi-object tracking[J] . Neurocomputing , 2018 , 281 : 139 - 151 . Liang-qun L, Xi-yang Z, Zong-xiang L, Fuzzy logic approach to visual multi-object tracking[J]. Neurocomputing, 2018, 281: 139-151.","journal-title":"Neurocomputing"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","first-page":"108227","DOI":"10.1016\/j.measurement.2020.108227","article-title":"Multi-scale spectral feature extraction for underwater acoustic target recognition[J]","volume":"166","author":"Jiang J","year":"2020","unstructured":"Jiang J , Shi T , Huang M , Multi-scale spectral feature extraction for underwater acoustic target recognition[J] . Measurement , 2020 , 166 : 108227 . Jiang J, Shi T, Huang M, Multi-scale spectral feature extraction for underwater acoustic target recognition[J]. Measurement, 2020, 166: 108227.","journal-title":"Measurement"},{"issue":"1","key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","first-page":"61","DOI":"10.3390\/electronics8010061","article-title":"A fusion frequency feature extraction method for underwater acoustic signal based on variational mode decomposition, duffing chaotic oscillator and a kind of permutation entropy[J]","volume":"8","author":"Li Y","year":"2019","unstructured":"Li Y , Chen X , Yu J , A fusion frequency feature extraction method for underwater acoustic signal based on variational mode decomposition, duffing chaotic oscillator and a kind of permutation entropy[J] . Electronics , 2019 , 8 ( 1 ): 61 . Li Y, Chen X, Yu J, A fusion frequency feature extraction method for underwater acoustic signal based on variational mode decomposition, duffing chaotic oscillator and a kind of permutation entropy[J]. Electronics, 2019, 8(1): 61.","journal-title":"Electronics"},{"issue":"10","key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","first-page":"265","DOI":"10.3390\/fi13100265","article-title":"Underwater target recognition based on multi-decision LOFAR spectrum enhancement: A deep-learning approach[J]","volume":"13","author":"Chen J","year":"2021","unstructured":"Chen J , Han B , Ma X , Underwater target recognition based on multi-decision LOFAR spectrum enhancement: A deep-learning approach[J] . Future Internet , 2021 , 13 ( 10 ): 265 . Chen J, Han B, Ma X, Underwater target recognition based on multi-decision LOFAR spectrum enhancement: A deep-learning approach[J]. Future Internet, 2021, 13(10): 265.","journal-title":"Future Internet"},{"key":"e_1_3_2_1_8_1","volume-title":"Algorithm for bearing track correlation based on grey incidence analysis[C]\/\/Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services","author":"Zheng Q","year":"2011","unstructured":"Zheng Q , Guan Y. Algorithm for bearing track correlation based on grey incidence analysis[C]\/\/Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services . IEEE , 2011 : 62-66. Zheng Q, Guan Y. Algorithm for bearing track correlation based on grey incidence analysis[C]\/\/Proceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services. IEEE, 2011: 62-66."},{"issue":"7","key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1108\/03684921211257793","article-title":"Correlation analysis of bearing track using grey system theory[J]","volume":"41","author":"Guan Y","year":"2012","unstructured":"Guan Y , Song D . Correlation analysis of bearing track using grey system theory[J] . Kybernetes , 2012 , 41 ( 7\/8 ): 945 - 952 . Guan Y, Song D. Correlation analysis of bearing track using grey system theory[J]. Kybernetes, 2012, 41(7\/8): 945-952.","journal-title":"Kybernetes"}],"event":{"name":"ICIGP 2023: 2023 The 6th International Conference on Image and Graphics Processing","acronym":"ICIGP 2023","location":"Chongqing China"},"container-title":["Proceedings of the 2023 6th International Conference on Image and Graphics Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582649.3582666","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582649.3582666","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:14Z","timestamp":1750183754000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582649.3582666"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,6]]},"references-count":9,"alternative-id":["10.1145\/3582649.3582666","10.1145\/3582649"],"URL":"https:\/\/doi.org\/10.1145\/3582649.3582666","relation":{},"subject":[],"published":{"date-parts":[[2023,1,6]]},"assertion":[{"value":"2023-04-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}