{"title":"Tracking cycle: a new concept for simultaneous tracking of multiple moving objects in a typical traffic scene","authors":"Z. Hu, K. Uchimura","doi":"10.1109/IVS.2000.898347","DOIUrl":null,"url":null,"abstract":"Because of the complicated motion pattern of moving objects in a typical on-road traffic scene, detecting the real moving objects and properly tracking each one have become very difficult and always employ optical flows and fixed template matching to detect and track the moving objects. Unfortunately, it has to pay a huge calculation cost and can not deal with some complicated motion pattern like overlapping of tracked objects. A new concept of tracking cycle is proposed in the paper. With the continuous estimation of moving objects vitality and reliability values, our method can detect and track up to more than 30 moving objects in real time. The flexible dynamic template matching method is also presented in the paper, which makes our system faster and more efficient for real-time ITS applications. Experiments on real outdoor road scenes show the accuracy and efficiency of our approach.","PeriodicalId":114981,"journal":{"name":"Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","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.2000.898347","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
Abstract
Because of the complicated motion pattern of moving objects in a typical on-road traffic scene, detecting the real moving objects and properly tracking each one have become very difficult and always employ optical flows and fixed template matching to detect and track the moving objects. Unfortunately, it has to pay a huge calculation cost and can not deal with some complicated motion pattern like overlapping of tracked objects. A new concept of tracking cycle is proposed in the paper. With the continuous estimation of moving objects vitality and reliability values, our method can detect and track up to more than 30 moving objects in real time. The flexible dynamic template matching method is also presented in the paper, which makes our system faster and more efficient for real-time ITS applications. Experiments on real outdoor road scenes show the accuracy and efficiency of our approach.