{"title":"基于电视摄像机的车辆运动检测及其芯片实现","authors":"Y. Fang, M. Mizuki, I. Masaki, B. Horn","doi":"10.1109/IVS.2000.898331","DOIUrl":null,"url":null,"abstract":"Detecting motion of vehicles and other objects by using TV cameras has wide applications in video image compression (MPEG 2) and intelligent transportation systems. In this paper, we present an edge-based motion detection to overcome the heavy computational load of the conventional motion detection algorithm. The algorithm successfully decreases both the computational load and the area of chip implementation by factors of 4.4 and 8, respectively. The result from the chip illustrates the effectiveness of the algorithm.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"TV camera-based vehicle motion detection and its chip implementation\",\"authors\":\"Y. Fang, M. Mizuki, I. Masaki, B. Horn\",\"doi\":\"10.1109/IVS.2000.898331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Detecting motion of vehicles and other objects by using TV cameras has wide applications in video image compression (MPEG 2) and intelligent transportation systems. In this paper, we present an edge-based motion detection to overcome the heavy computational load of the conventional motion detection algorithm. The algorithm successfully decreases both the computational load and the area of chip implementation by factors of 4.4 and 8, respectively. The result from the chip illustrates the effectiveness of the algorithm.\",\"PeriodicalId\":114981,\"journal\":{\"name\":\"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)\",\"volume\":\"128 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVS.2000.898331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVS.2000.898331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TV camera-based vehicle motion detection and its chip implementation
Detecting motion of vehicles and other objects by using TV cameras has wide applications in video image compression (MPEG 2) and intelligent transportation systems. In this paper, we present an edge-based motion detection to overcome the heavy computational load of the conventional motion detection algorithm. The algorithm successfully decreases both the computational load and the area of chip implementation by factors of 4.4 and 8, respectively. The result from the chip illustrates the effectiveness of the algorithm.
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