Pub Date : 2000-09-11DOI: 10.1109/CAMP.2000.875979
Daisaku Arita, S. Yonemoto, R. Taniguchi
In this paper, we describe a PC cluster system for real-time computer vision. For easy construction of real-time distributed computer vision on PC cluster, we have developed a programming environment, in which a programmer have to describe only data flow between PCs and processing algorithms on each PC. And we also describe a real-time human motion capture system using multiple cameras as a prototypical application on the PC cluster system, which shows that the system works in real-time.
{"title":"Real-time computer vision on PC-cluster and its application to real-time motion capture","authors":"Daisaku Arita, S. Yonemoto, R. Taniguchi","doi":"10.1109/CAMP.2000.875979","DOIUrl":"https://doi.org/10.1109/CAMP.2000.875979","url":null,"abstract":"In this paper, we describe a PC cluster system for real-time computer vision. For easy construction of real-time distributed computer vision on PC cluster, we have developed a programming environment, in which a programmer have to describe only data flow between PCs and processing algorithms on each PC. And we also describe a real-time human motion capture system using multiple cameras as a prototypical application on the PC cluster system, which shows that the system works in real-time.","PeriodicalId":282003,"journal":{"name":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127932149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2000-09-11DOI: 10.1109/CAMP.2000.875955
D. Paulus, C. Drexler, M. Reinhold, M. Zobel, Joachim Denzler
We present a modular architecture for image understanding and active computer vision which consists of the following major components: sensor and actor interfaces required for data-driven active vision are encapsulated to hide machine-dependent parts; image segmentation is implemented in object-oriented programming as a hierarchy of image operator classes, guaranteeing simple and uniform interfaces. We apply this architecture to appearance-based object recognition. This is used for an autonomous mobile service robot which has to locate objects using visual sensors.
{"title":"Active computer vision system","authors":"D. Paulus, C. Drexler, M. Reinhold, M. Zobel, Joachim Denzler","doi":"10.1109/CAMP.2000.875955","DOIUrl":"https://doi.org/10.1109/CAMP.2000.875955","url":null,"abstract":"We present a modular architecture for image understanding and active computer vision which consists of the following major components: sensor and actor interfaces required for data-driven active vision are encapsulated to hide machine-dependent parts; image segmentation is implemented in object-oriented programming as a hierarchy of image operator classes, guaranteeing simple and uniform interfaces. We apply this architecture to appearance-based object recognition. This is used for an autonomous mobile service robot which has to locate objects using visual sensors.","PeriodicalId":282003,"journal":{"name":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127501648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2000-09-11DOI: 10.1109/CAMP.2000.875957
I. Ishii, T. Komuro, M. Ishikawa
A digital vision chip is a one-chip vision system that can perform operations much faster than the video rate (NTSC 30 Hz/PAL 25 Hz). The digital vision chip has a compact design for integration, and can execute several algorithms at high speed for robot control. To realize high-speed image processing on digital vision chips, it is important to develop image processing algorithms that work with the processing architecture. While most of the researches on vision chips have concerned image-to-image processing, there has been few researches on image-to-scalar feature extraction which is inevitable for visual feedback control. In this paper, we propose bit-plane feature decomposition (BPFD) as a method of image-to-scalar feature extraction in digital vision chip systems. We show the effectiveness of the proposed method by evaluating its application in a digital vision chip system.
{"title":"Method of moment calculation for a digital vision chip system","authors":"I. Ishii, T. Komuro, M. Ishikawa","doi":"10.1109/CAMP.2000.875957","DOIUrl":"https://doi.org/10.1109/CAMP.2000.875957","url":null,"abstract":"A digital vision chip is a one-chip vision system that can perform operations much faster than the video rate (NTSC 30 Hz/PAL 25 Hz). The digital vision chip has a compact design for integration, and can execute several algorithms at high speed for robot control. To realize high-speed image processing on digital vision chips, it is important to develop image processing algorithms that work with the processing architecture. While most of the researches on vision chips have concerned image-to-image processing, there has been few researches on image-to-scalar feature extraction which is inevitable for visual feedback control. In this paper, we propose bit-plane feature decomposition (BPFD) as a method of image-to-scalar feature extraction in digital vision chip systems. We show the effectiveness of the proposed method by evaluating its application in a digital vision chip system.","PeriodicalId":282003,"journal":{"name":"Proceedings Fifth IEEE International Workshop on Computer Architectures for Machine Perception","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124438491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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