{"title":"交通中的多车检测、识别与跟踪","authors":"S. S, Neelima Satheesh, K. V.","doi":"10.1109/incet49848.2020.9154107","DOIUrl":null,"url":null,"abstract":"Multiple Car detection, recognition and tracking is one of the most rapidly growing system in image processing used for video surveillance system. This has been designed with an intention to reduce the traffic congestion in highways, decrease street misshape, Identify people in crime scène, reduce road accidents, vehicle theft detection, living zone etc. Detecting the shape of an moving car in a video sequence is very difficult in the present environmental conditions. In order to overcome the effect of this problem, The paper proposed number of methods like video is converted into frames in segmentation then followed by preprocessing and tracking of multiple cars. This paper provides a brief about multiple car detection, recognition and tracking of approaches.","PeriodicalId":174411,"journal":{"name":"2020 International Conference for Emerging Technology (INCET)","volume":"86 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Multiple Car Detection, Recognition and Tracking in Traffic\",\"authors\":\"S. S, Neelima Satheesh, K. V.\",\"doi\":\"10.1109/incet49848.2020.9154107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple Car detection, recognition and tracking is one of the most rapidly growing system in image processing used for video surveillance system. This has been designed with an intention to reduce the traffic congestion in highways, decrease street misshape, Identify people in crime scène, reduce road accidents, vehicle theft detection, living zone etc. Detecting the shape of an moving car in a video sequence is very difficult in the present environmental conditions. In order to overcome the effect of this problem, The paper proposed number of methods like video is converted into frames in segmentation then followed by preprocessing and tracking of multiple cars. This paper provides a brief about multiple car detection, recognition and tracking of approaches.\",\"PeriodicalId\":174411,\"journal\":{\"name\":\"2020 International Conference for Emerging Technology (INCET)\",\"volume\":\"86 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference for Emerging Technology (INCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/incet49848.2020.9154107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference for Emerging Technology (INCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/incet49848.2020.9154107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple Car Detection, Recognition and Tracking in Traffic
Multiple Car detection, recognition and tracking is one of the most rapidly growing system in image processing used for video surveillance system. This has been designed with an intention to reduce the traffic congestion in highways, decrease street misshape, Identify people in crime scène, reduce road accidents, vehicle theft detection, living zone etc. Detecting the shape of an moving car in a video sequence is very difficult in the present environmental conditions. In order to overcome the effect of this problem, The paper proposed number of methods like video is converted into frames in segmentation then followed by preprocessing and tracking of multiple cars. This paper provides a brief about multiple car detection, recognition and tracking of approaches.