{"title":"一种检测公交车突发事件的图像处理方法","authors":"Yanyan Li, Wei Wu","doi":"10.1109/IAEAC.2015.7428575","DOIUrl":null,"url":null,"abstract":"This paper describes an image processing method to detect bus emergencies, such as spontaneous combustion, vandalism and other dangerous. We extract the main moving area; then use an improved frame-difference algorithm and pixel-matching method to extract moving prospects. Harries algorithm is used to extract the corner; finally we use optical flow to establish the motion vector to determine whether an exception occurs. This paper also presents the related bus emergency system, called the smart bus monitoring system, and its hardware and software subsystems.","PeriodicalId":398100,"journal":{"name":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An image processing method to detect bus emergencies\",\"authors\":\"Yanyan Li, Wei Wu\",\"doi\":\"10.1109/IAEAC.2015.7428575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an image processing method to detect bus emergencies, such as spontaneous combustion, vandalism and other dangerous. We extract the main moving area; then use an improved frame-difference algorithm and pixel-matching method to extract moving prospects. Harries algorithm is used to extract the corner; finally we use optical flow to establish the motion vector to determine whether an exception occurs. This paper also presents the related bus emergency system, called the smart bus monitoring system, and its hardware and software subsystems.\",\"PeriodicalId\":398100,\"journal\":{\"name\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC.2015.7428575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC.2015.7428575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An image processing method to detect bus emergencies
This paper describes an image processing method to detect bus emergencies, such as spontaneous combustion, vandalism and other dangerous. We extract the main moving area; then use an improved frame-difference algorithm and pixel-matching method to extract moving prospects. Harries algorithm is used to extract the corner; finally we use optical flow to establish the motion vector to determine whether an exception occurs. This paper also presents the related bus emergency system, called the smart bus monitoring system, and its hardware and software subsystems.