{"title":"Keeping Objects in the Field of View: An Underdetermined Task Function Approach to Visual Servoing","authors":"N. Gans, G. Hu, W. Dixon","doi":"10.1109/ISIC.2008.4635969","DOIUrl":null,"url":null,"abstract":"This paper introduces a novel visual servo controller designed to keep multiple objects in the camera field-of-view. In contrast to other visual servo controllers, there is no goal pose or goal image. In this paper, a set of underdetermined task functions are developed to regulate the mean and variance of a set of image features. Regulating these task functions will keep feature points in the camera field-of-view. An additional task function is used to maintain a high level of motion perceptibility, which ensures that desired feature point velocities can be achieved. Simulations of several object tracking tasks have verified the performance of the proposed method.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2008.4635969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
This paper introduces a novel visual servo controller designed to keep multiple objects in the camera field-of-view. In contrast to other visual servo controllers, there is no goal pose or goal image. In this paper, a set of underdetermined task functions are developed to regulate the mean and variance of a set of image features. Regulating these task functions will keep feature points in the camera field-of-view. An additional task function is used to maintain a high level of motion perceptibility, which ensures that desired feature point velocities can be achieved. Simulations of several object tracking tasks have verified the performance of the proposed method.