{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T03:48:42Z","timestamp":1747194522955,"version":"3.40.5"},"reference-count":9,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672495"],"award-info":[{"award-number":["61672495"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002767","name":"hunan provincial science and technology department","doi-asserted-by":"publisher","award":["2017SK2405"],"award-info":[{"award-number":["2017SK2405"]}],"id":[{"id":"10.13039\/501100002767","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009377","name":"education department of hunan province","doi-asserted-by":"publisher","award":["16A208"],"award-info":[{"award-number":["16A208"]}],"id":[{"id":"10.13039\/100009377","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2019,5]]},"abstract":"<jats:p> With the increase in the number of dogs in the city, the dogs can be seen everywhere in public places. At the same time, more and more stray dogs appear in public places where dogs are prohibited, which has a certain impact on the city environment and personal safety. In view of this, we propose a novel algorithm that combines dense\u2013scale invariant feature transform and convolutional neural network to solve dog recognition problems in public places. First, the image is divided into several grids; then, the dense\u2013scale invariant feature transform algorithm is used to split and combine the descriptors, and the channel information of the eight directions of the image is extracted as the input of the convolutional neural network; and finally, we design a convolutional neural network based on Adam optimization algorithm and cross-entropy to identify the dog species. The experimental results show that the algorithm can fully combine the advantages of dense\u2013scale invariant feature transform and convolutional neural network to achieve dog recognition in public places, and the correct rate is 94.2%. <\/jats:p>","DOI":"10.1177\/1550147719829675","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T09:55:01Z","timestamp":1559210101000},"page":"155014771982967","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Dog recognition in public places based on convolutional neural network"],"prefix":"10.1177","volume":"15","author":[{"given":"Jianquan","family":"Ouyang","sequence":"first","affiliation":[{"name":"College of Information Engineering, Xiangtan University, Xiangtan, China"},{"name":"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, College of Information Engineering, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7890-6537","authenticated-orcid":false,"given":"Hao","family":"He","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Xiangtan University, Xiangtan, China"},{"name":"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, College of Information Engineering, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"He","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Xiangtan University, Xiangtan, China"},{"name":"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, College of Information Engineering, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huanrong","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Information Engineering, Xiangtan University, Xiangtan, China"},{"name":"Key Laboratory of Intelligent Computing and Information Processing, Ministry of Education, College of Information Engineering, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,5,30]]},"reference":[{"key":"bibr3-1550147719829675","doi-asserted-by":"publisher","DOI":"10.3901\/JME.2018.10.103"},{"key":"bibr4-1550147719829675","doi-asserted-by":"publisher","DOI":"10.4236\/jsea.2014.75044"},{"key":"bibr5-1550147719829675","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-169509"},{"volume-title":"International conference on advanced intelligent systems and informatics","author":"Mohamed AA","key":"bibr6-1550147719829675"},{"volume-title":"IEEE international conference on computer vision","year":"1150","author":"Lowe DG","key":"bibr7-1550147719829675"},{"key":"bibr8-1550147719829675","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2006.68"},{"key":"bibr9-1550147719829675","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"bibr10-1550147719829675","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"first-page":"1","volume-title":"IEEE conference on computer vision and pattern recognition (CVPR)","author":"Szegedy C","key":"bibr12-1550147719829675"}],"container-title":["International Journal of Distributed Sensor Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719829675","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/1550147719829675","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/1550147719829675","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,10]],"date-time":"2020-12-10T10:55:34Z","timestamp":1607597734000},"score":1,"resource":{"primary":{"URL":"http:\/\/journals.sagepub.com\/doi\/10.1177\/1550147719829675"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":9,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["10.1177\/1550147719829675"],"URL":"https:\/\/doi.org\/10.1177\/1550147719829675","relation":{},"ISSN":["1550-1477","1550-1477"],"issn-type":[{"type":"print","value":"1550-1477"},{"type":"electronic","value":"1550-1477"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}