{"title":"Multiresolution attention and associative memory systems for time-varying imagery","authors":"Vicente Concepcion, H. Wechsler","doi":"10.1109/ICPR.1994.576464","DOIUrl":null,"url":null,"abstract":"This paper describes a vision system that integrates attention and recognition systems using active (where and what to sense) and selective (how to control the stream of computation) perception. Both time-varying imagery input and recognition memory are organized as pyramids and a uniform indexing and classification interface is established. The tools discussed in this paper include the use of: (1) scale-space representation using wavelet pyramids; (2) hierarchical, localized, and robust indexing and classification of the feature models using distributed associative memory; and (3) adaptive saccade and zoom strategies guided by saliency in determining focus of attention to locate and identify target objects.","PeriodicalId":312019,"journal":{"name":"Proceedings of 12th International Conference on Pattern Recognition","volume":"185 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 12th International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1994.576464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper describes a vision system that integrates attention and recognition systems using active (where and what to sense) and selective (how to control the stream of computation) perception. Both time-varying imagery input and recognition memory are organized as pyramids and a uniform indexing and classification interface is established. The tools discussed in this paper include the use of: (1) scale-space representation using wavelet pyramids; (2) hierarchical, localized, and robust indexing and classification of the feature models using distributed associative memory; and (3) adaptive saccade and zoom strategies guided by saliency in determining focus of attention to locate and identify target objects.