使用彩色摄像机的实时目标跟踪系统

Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery Pub Date : 2001-10-10 DOI:10.1109/AIPR.2001.991216

G. V. Paul, G. Beach, C. Cohen

{"title":"使用彩色摄像机的实时目标跟踪系统","authors":"G. V. Paul, G. Beach, C. Cohen","doi":"10.1109/AIPR.2001.991216","DOIUrl":null,"url":null,"abstract":"We describe a real-time object tracking system based on a color camera and a personal computer. The system is capable of tracking colored objects in the camera view in real-time. The algorithm uses the color, shape and motion of the object to achieve robust tracking even in the presence of partial occlusion and shape change. A key component of the system is a computationally efficient manner to track colored objects which makes it possible to do robust real-time tracking.","PeriodicalId":277181,"journal":{"name":"Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"A realtime object tracking system using a color camera\",\"authors\":\"G. V. Paul, G. Beach, C. Cohen\",\"doi\":\"10.1109/AIPR.2001.991216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a real-time object tracking system based on a color camera and a personal computer. The system is capable of tracking colored objects in the camera view in real-time. The algorithm uses the color, shape and motion of the object to achieve robust tracking even in the presence of partial occlusion and shape change. A key component of the system is a computationally efficient manner to track colored objects which makes it possible to do robust real-time tracking.\",\"PeriodicalId\":277181,\"journal\":{\"name\":\"Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIPR.2001.991216\",\"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 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIPR.2001.991216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 8

摘要

介绍了一种基于彩色摄像机和个人计算机的实时目标跟踪系统。该系统能够实时跟踪摄像机视图中的彩色物体。该算法利用物体的颜色、形状和运动特征，即使在存在部分遮挡和形状变化的情况下也能实现鲁棒跟踪。该系统的一个关键组成部分是计算效率高的彩色目标跟踪方式，使其能够实现鲁棒的实时跟踪。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A realtime object tracking system using a color camera

We describe a real-time object tracking system based on a color camera and a personal computer. The system is capable of tracking colored objects in the camera view in real-time. The algorithm uses the color, shape and motion of the object to achieve robust tracking even in the presence of partial occlusion and shape change. A key component of the system is a computationally efficient manner to track colored objects which makes it possible to do robust real-time tracking.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery

自引率

0.00%

发文量