Yusu Wang, Zhipeng Ma, Huaqi Fang, Can Hu, Yihao Cao, Dingxin He
{"title":"基于行人再识别算法的智能安防机器人行人识别系统","authors":"Yusu Wang, Zhipeng Ma, Huaqi Fang, Can Hu, Yihao Cao, Dingxin He","doi":"10.1109/ICCEAI52939.2021.00074","DOIUrl":null,"url":null,"abstract":"The security system is an important guarantee for the safety of citizens' lives and property. In recent years, security robots have been more and more widely used in security systems. At present, domestic security robots generally lack of pedestrian recognition ability under complex circumstances. Therefore, this paper designs and implements pedestrian recognition system for smart security robots using improved pedestrian re-identification algorithm. Experiment result shows that the system has success rate of 90 % and response speed compliance rate of 94.4% under real circumstances, which is much better than traditional system.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pedestrian Recognition System for Smart Security Robot using Pedestrian Re-identification Algorithm\",\"authors\":\"Yusu Wang, Zhipeng Ma, Huaqi Fang, Can Hu, Yihao Cao, Dingxin He\",\"doi\":\"10.1109/ICCEAI52939.2021.00074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The security system is an important guarantee for the safety of citizens' lives and property. In recent years, security robots have been more and more widely used in security systems. At present, domestic security robots generally lack of pedestrian recognition ability under complex circumstances. Therefore, this paper designs and implements pedestrian recognition system for smart security robots using improved pedestrian re-identification algorithm. Experiment result shows that the system has success rate of 90 % and response speed compliance rate of 94.4% under real circumstances, which is much better than traditional system.\",\"PeriodicalId\":331409,\"journal\":{\"name\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEAI52939.2021.00074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEAI52939.2021.00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pedestrian Recognition System for Smart Security Robot using Pedestrian Re-identification Algorithm
The security system is an important guarantee for the safety of citizens' lives and property. In recent years, security robots have been more and more widely used in security systems. At present, domestic security robots generally lack of pedestrian recognition ability under complex circumstances. Therefore, this paper designs and implements pedestrian recognition system for smart security robots using improved pedestrian re-identification algorithm. Experiment result shows that the system has success rate of 90 % and response speed compliance rate of 94.4% under real circumstances, which is much better than traditional system.