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This paper mainly focuses on the realization of the image recognition system for the anomalous characteristics of tourism emergencies. The problem is to study the number of people in the scenic spot based on scenic spot monitoring. The video-based population anomaly monitoring method has improved the AUC index of the W-SFM method by 0.423, and the AUC has increased by 0.0844 compared with the optical flow method; Degree-enhanced algorithm (BCOF), by grasping the micro-blog data related to the scenic spot, comprehensively predicts the overall comfort of the current tourists in the scenic spot, and establishes a tourist state expression model. Compared with the BN algorithm and the NEG algorithm, the BCOF algorithm is the accuracy and the recall rate of tourists in the scenic spots was improved by 14% and 18% respectively. The image recognition system of tourism emergency anomaly was established, and the early warning model of tourism emergency based on group intelligence perception was used to implement early warning on scenic spots. Monitoring, can achieve an overall accuracy of 83.33%, the model has a strong predictive ability, and achieves a scenic spot Real-time monitoring of events.<\/jats:p>","DOI":"10.3233\/jifs-189000","type":"journal-article","created":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T10:36:16Z","timestamp":1594895776000},"page":"5149-5159","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Intelligent image recognition system for detecting abnormal features of scenic spots based on deep learning"],"prefix":"10.1177","volume":"39","author":[{"given":"Kainan","family":"Liu","sequence":"first","affiliation":[{"name":"College of Information and Intelligent Engineering, University of Sanya, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meiyun","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Information and Intelligent Engineering, University of Sanya, China"},{"name":"College of Humanities and Communication, University of Sanya, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammed K.","family":"Hassan","sequence":"additional","affiliation":[{"name":"Department of Mechatronics, Faculty of Engineering, Horus university, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,7,14]]},"reference":[{"issue":"6","key":"e_1_3_2_2_2","first-page":"256","article-title":"Influencing Mechanism of Farmers\u2019 Relative Deprivation on the Sustainable Development of Rural Tourism","volume":"36","author":"Ge Y.","year":"2019","unstructured":"GeY., Influencing Mechanism of Farmers\u2019 Relative Deprivation on the Sustainable Development of Rural Tourism, Revista de la Facultad de Agronomia de la Universidad del Zulia 36(6) (2019), 256\u2013264.","journal-title":"Revista de la Facultad de Agronomia de la Universidad del Zulia"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.05.033"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2819820"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.54216\/JCIM.010101"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-017-1708-9"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2017.12.007"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2018.08.001"},{"issue":"09","key":"e_1_3_2_9_2","first-page":"31","article-title":"Analysis of Image Similarity Calculation Algorithm","volume":"2019","author":"Zhaoqing W.","unstructured":"ZhaoqingW., XiaolinS. and LeiL., Analysis of Image Similarity Calculation Algorithm, Modern Electronic Technique 2019(09), 31\u201334+38.","journal-title":"Modern Electronic Technique"},{"key":"e_1_3_2_10_2","unstructured":"ZhongdeL. 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