{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T04:10:27Z","timestamp":1775103027821,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,15]],"date-time":"2022-01-15T00:00:00Z","timestamp":1642204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["Grant No. 61963012 ?Grant no. 62161010"],"award-info":[{"award-number":["Grant No. 61963012 ?Grant no. 62161010"]}]},{"name":"the Hainan Province Natural Science Foundation of China","award":["Grant No. 620RC564 ? Grant No. 619QN195"],"award-info":[{"award-number":["Grant No. 620RC564 ? Grant No. 619QN195"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,15]]},"DOI":"10.1145\/3523150.3523165","type":"proceedings-article","created":{"date-parts":[[2022,4,13]],"date-time":"2022-04-13T21:39:55Z","timestamp":1649885995000},"page":"92-97","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Abnormal Behavior Recognition of Underwater Fish Body Based on C3D Model"],"prefix":"10.1145","author":[{"given":"Zhuhua","family":"Hu","sequence":"first","affiliation":[{"name":"Hainan University, China"}]},{"given":"XiangHui","family":"Li","sequence":"additional","affiliation":[{"name":"Hainan University, China"}]},{"given":"XinYu","family":"Xie","sequence":"additional","affiliation":[{"name":"Hainan University, China"}]},{"given":"YaoChi","family":"Zhao","sequence":"additional","affiliation":[{"name":"Hainan University, China"}]}],"member":"320","published-online":{"date-parts":[[2022,4,13]]},"reference":[{"issue":"2","key":"e_1_3_2_1_1_1","first-page":"43","article-title":"Study on fish caudal peduncle measuring method based on image processing and linear fitting","volume":"44","author":"Hu Z.","year":"2017","unstructured":"Z. Hu , L. Cao , Y. Zhang , and Y. Zhao , \u201c Study on fish caudal peduncle measuring method based on image processing and linear fitting ,\u201d Fishery Modernization , vol. 44 , no. 2 , pp. 43 \u2013 49 , 2017 . Z. Hu, L. Cao, Y. Zhang, and Y. Zhao, \u201cStudy on fish caudal peduncle measuring method based on image processing and linear fitting,\u201d Fishery Modernization, vol. 44, no. 2, pp. 43\u201349, 2017.","journal-title":"Fishery Modernization"},{"key":"e_1_3_2_1_2_1","first-page":"7","article-title":"Research progress on recognition and quantification of fish behavior in aquaculture based on computer vision technology","volume":"46","author":"He J.","year":"2019","unstructured":"J. He , Z. HUANG, X. SONG , \u201c Research progress on recognition and quantification of fish behavior in aquaculture based on computer vision technology ,\u201d Fishery Mod. , vol. 46 , pp. 7 \u2013 14 , 2019 . J. He, Z. HUANG, X. SONG , \u201cResearch progress on recognition and quantification of fish behavior in aquaculture based on computer vision technology,\u201d Fishery Mod., vol. 46, pp. 7\u201314, 2019.","journal-title":"Fishery Mod."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1139\/f79-132"},{"key":"e_1_3_2_1_4_1","volume-title":"Canadian journal of fisheries and aquatic sciences","author":"Skiftesvik A. B.","unstructured":"A. B. Skiftesvik , \u201c Changes in behaviour at onset of exogenous feeding in marine fish larvae ,\u201d Canadian journal of fisheries and aquatic sciences , vol. 49 , no. 8, pp. 1570\u20131572, 1992. A. B. Skiftesvik, \u201cChanges in behaviour at onset of exogenous feeding in marine fish larvae,\u201d Canadian journal of fisheries and aquatic sciences, vol. 49, no. 8, pp. 1570\u20131572, 1992."},{"issue":"2","key":"e_1_3_2_1_5_1","first-page":"162","article-title":"Anomaly detection of fish school behavior based on features statistical and optical flow methods","volume":"30","author":"Yu X.","year":"2014","unstructured":"X. Yu , X. Hou , H. Lu , X. Yu , L. Fan , and Y. Liu , \u201c Anomaly detection of fish school behavior based on features statistical and optical flow methods ,\u201d Transactions of the Chinese Society of Agricultural Engineering , vol. 30 , no. 2 , pp. 162 \u2013 168 , 2014 . X. Yu, X. Hou, H. Lu, X. Yu, L. Fan, and Y. Liu, \u201cAnomaly detection of fish school behavior based on features statistical and optical flow methods,\u201dTransactions of the Chinese Society of Agricultural Engineering, vol. 30, no. 2, pp. 162\u2013168, 2014.","journal-title":"Transactions of the Chinese Society of Agricultural Engineering"},{"key":"e_1_3_2_1_6_1","first-page":"419","volume-title":"Electronics","author":"Lin C.-R.","year":"2016","unstructured":"C.-R. Lin , Y. Chen , X.-Z. Lin , F. Yuan , and Y. Zhu , \u201c Water monitoring system based on recognition of fish behavior ,\u201d in Electronics , Communications and Networks V. Springer , 2016 , pp. 411\u2013 419 . C.-R. Lin, Y. Chen, X.-Z. Lin, F. Yuan, and Y. Zhu, \u201cWater monitoring system based on recognition of fish behavior,\u201d in Electronics, Communications and Networks V. Springer, 2016, pp. 411\u2013419."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.105087"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.113"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.02.013"},{"key":"e_1_3_2_1_10_1","first-page":"2634","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Donahue J.","year":"2015","unstructured":"J. Donahue , L. Anne Hendricks , S. Guadarrama , M. Rohrbach , S. Venugopalan , K. Saenko , and T. Darrell , \u201c Long-term recurrent convolutionalnetworks for visual recognition and description ,\u201d in Proceedings of the IEEE conference on computer vision and pattern recognition , 2015 , pp. 2625\u2013 2634 . J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell, \u201cLong-term recurrent convolutionalnetworks for visual recognition and description,\u201d in Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 2625\u20132634."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"e_1_3_2_1_12_1","volume-title":"Temporal segment networks for action recognition in videos","author":"Wang L.","unstructured":"L. Wang , Y. Xiong , Z. Wang , Y. Qiao , D. Lin , X. Tang , and L. Van Gool , \u201c Temporal segment networks for action recognition in videos ,\u201d IEEE transactions on pattern analysis and machine intelligence, vol. 41 , no. 11, pp. 2740\u20132755, 2018. L. Wang, Y. Xiong, Z. Wang, Y. Qiao, D. Lin, X. Tang, and L. Van Gool, \u201cTemporal segment networks for action recognition in videos,\u201d IEEE transactions on pattern analysis and machine intelligence, vol. 41, no. 11, pp. 2740\u20132755, 2018."},{"key":"e_1_3_2_1_13_1","volume-title":"Two-stream convolutional networks for action recognition in videos","author":"Simonyan K.","year":"2014","unstructured":"K. Simonyan and A. Zisserman , \u201c Two-stream convolutional networks for action recognition in videos ,\u201d arXiv preprint arXiv:1406.2199, 2014 . K. Simonyan and A. Zisserman, \u201cTwo-stream convolutional networks for action recognition in videos,\u201d arXiv preprint arXiv:1406.2199, 2014."},{"key":"e_1_3_2_1_14_1","volume-title":"International journal of computer vision","author":"Wang H.","unstructured":"H. Wang , A. Kl\u00e4ser , C. Schmid , and C.-L. Liu , \u201c Dense trajectories and motion boundary descriptors for action recognition ,\u201d International journal of computer vision , vol. 103 , no. 1, pp. 60\u201379, 2013. H. Wang, A. Kl\u00e4ser, C. Schmid, and C.-L. Liu, \u201cDense trajectories and motion boundary descriptors for action recognition,\u201d International journal of computer vision, vol. 103, no. 1, pp. 60\u201379, 2013."},{"key":"e_1_3_2_1_15_1","first-page":"893","volume-title":"conference on computer vision and pattern recognition (CVPR\u201905)","volume":"1","author":"Dalal N.","year":"2005","unstructured":"N. Dalal and B. Triggs , \u201c Histograms of oriented gradients for human detection,\u201d in 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201905) , vol. 1 . Ieee , 2005 , pp. 886\u2013 893 . N. Dalal and B. Triggs, \u201cHistograms of oriented gradients for human detection,\u201d in 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR\u201905), vol. 1. Ieee, 2005, pp. 886\u2013893."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_2_1_17_1","volume-title":"3d convolutional neural networks for human action recognition","author":"Ji S.","unstructured":"S. Ji , W. Xu , M. Yang , and K. Yu , \u201c 3d convolutional neural networks for human action recognition ,\u201d IEEE transactions on pattern analysis and machine intelligence, vol. 35 , no. 1, pp. 221\u2013231, 2012. S. Ji, W. Xu, M. Yang, and K. Yu, \u201c3d convolutional neural networks for human action recognition,\u201d IEEE transactions on pattern analysis and machine intelligence, vol. 35, no. 1, pp. 221\u2013231, 2012."},{"key":"e_1_3_2_1_18_1","volume-title":"Adam: A method for stochastic optimization","author":"Kingma D. P.","year":"2014","unstructured":"D. P. Kingma and J. Ba , \u201c Adam: A method for stochastic optimization ,\u201d arXiv preprint arXiv:1412.6980, 2014 . D. P. Kingma and J. Ba, \u201cAdam: A method for stochastic optimization,\u201d arXiv preprint arXiv:1412.6980, 2014."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(98)00116-6"},{"key":"e_1_3_2_1_20_1","volume-title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","author":"Soomro K.","year":"2012","unstructured":"K. Soomro , A. R. Zamir , and M. Shah , \u201c Ucf101: A dataset of 101 human actions classes from videos in the wild ,\u201d arXiv preprint arXiv:1212.0402, 2012 . K. Soomro, A. R. Zamir, and M. Shah, \u201cUcf101: A dataset of 101 human actions classes from videos in the wild,\u201d arXiv preprint arXiv:1212.0402, 2012."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"issue":"11","key":"e_1_3_2_1_22_1","article-title":"Visualizing data using t-sne","volume":"9","author":"Van der Maaten L.","year":"2008","unstructured":"L. Van der Maaten and G. Hinton , \u201c Visualizing data using t-sne .\u201d Journal of machine learning research , vol. 9 , no. 11 , 2008 . L. Van der Maaten and G. Hinton, \u201cVisualizing data using t-sne.\u201d Journal of machine learning research, vol. 9, no. 11, 2008.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.617"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the IEEE conference","author":"Hara K.","unstructured":"K. Hara , H. Kataoka , and Y. Satoh , \u201c Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? \u201d in Proceedings of the IEEE conference K. Hara, H. Kataoka, and Y. Satoh, \u201cCan spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?\u201d in Proceedings of the IEEE conference"}],"event":{"name":"ICMLSC 2022: 2022 The 6th International Conference on Machine Learning and Soft Computing","location":"Haikou China","acronym":"ICMLSC 2022"},"container-title":["2022 The 6th International Conference on Machine Learning and Soft Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523150.3523165","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523150.3523165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:44Z","timestamp":1750188644000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523150.3523165"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,15]]},"references-count":24,"alternative-id":["10.1145\/3523150.3523165","10.1145\/3523150"],"URL":"https:\/\/doi.org\/10.1145\/3523150.3523165","relation":{},"subject":[],"published":{"date-parts":[[2022,1,15]]},"assertion":[{"value":"2022-04-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}