Parallel extraction architecture for image moments of numerous objects

Yoshihiro Watanabe, Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

In this paper, we propose a new architecture that can extract information of numerous objects in an image at high-speed. Various characteristics can be obtained from the image moments. The proposed architecture simultaneously extracts the moments of multiple objects in parallel. This parallel extraction enables a significant reduction in the amount of calculation required. In addition, asynchronous operation allows fast processing. We believe that our architecture can obtain more information in real-time even at high frame rates, providing advantages in a wide range of applications, mainly for image measurement This paper describes our proposed architecture and some results on its implementation in FPGA.

Original languageEnglish
Pages105-110
Number of pages6
Publication statusPublished - 2005
Event7th International Workshop on Computer Architecture for Machine Perception, CAMP 2005 - Palermo, Italy
Duration: 2005 Jul 42005 Jul 6

Conference

Conference7th International Workshop on Computer Architecture for Machine Perception, CAMP 2005
Country/TerritoryItaly
CityPalermo
Period05/7/405/7/6

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