• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

1994 Fiscal Year Final Research Report Summary

Computer Vision Based on Computational Subsumption Model

Research Project

Project/Area Number 05452355
Research Category

Grant-in-Aid for General Scientific Research (B)

Allocation TypeSingle-year Grants
Research Field Intelligent informatics
Research InstitutionTokyo Institute of Technology

Principal Investigator

SATO Makoto  Tokyo Inst.of Tech., P.& I.Lab., Associate Prof., 精密工学研究所, 助教授 (50114872)

Co-Investigator(Kenkyū-buntansha) TAKAMATSU Ryo  Tokyo Inst.of Tech., P.& I.Lab., Research Assoc., 精密工学研究所, 助手 (20216782)
KAWARADA Hiroshi  Tokyo Inst.of Tech., P.& I.Lab., Prof., 精密工学研究所, 教授 (00016776)
Project Period (FY) 1993 – 1994
KeywordsSubsumption / Eary Vision / Viewpoint and Visual Field / Computer Vision
Research Abstract

It is possible to consider that behavior of animal is layred from fundamental one to higher one during the evolutionary process. One of the approach to understand whole visual system is starting with making the fundamental model in common with many animal, and piling up higher level model gradually.
Detecting and tracking the moving object are some of the fundamental function of visual system. This function is essentinal for creatures to prey and reproduce.
It is significant how to decide and how to control optimal viewpoint and visual field during detecting and tracking target object. Many animal have the mechanism to decide optimal viewpoint and visual field based on a priori information about target object.
In this paper, we made the mathematical model of detecting and tracking target object, and investigated the optimality of deciding and controlling viewpoint and visual field.
The outline of the model is as follows ; we treat recognition of object as the measurement process of visual pattern to estimate parameters that describe the characteristics of object. The object image with noise is observed by measurement system that has viewpoint and visual field. The position and size of target object is estimated by minimum variance estimation. Deciding viewpoint and visual field is formulated as making measurement system that minimize estimation error based on a priori information about target object.
Model has these characteristics; characteristics in common with many animals taken into model has its origin in the fact that visual system of many animals are very similar though theembryological origin are far different. Describing measurement system, deciding and controlling the optimal viewpoint and visual field keeps consistency when extending model to more complicated function of visual system. Less quantity of operations to estimate position and size of target object makes it easy to actualize real time vision system.

  • Research Products

    (12 results)

All Other

All Publications (12 results)

  • [Publications] 及川直也: "2分木表現による画像パターンの特徴記述" 画像電子学会誌. 22. 451-457 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Ryo Takamatsu: "An observation system for object detection with the optimal viewpoint and visual field" ACCV '93. 640-643 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Ryo Takamatsu: "Object detectin with the optimal viewpoint and visual field" IJCNN '93. 215-218 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 高松亮: "物体検出のための最適な視点、視野に関する考察" 電子情報通信学会. (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 名古和 行: "濃淡画像の微分幾何学的構造に基づく手書き文字の切り出し" 電子情報通信学会研究会. (1994)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 荒井敏: "Gaussian Segmentationによる画像からの領域抽出" 電子情報通信学会研究会. (1994)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] N.Oikawa et.al.: "Feature Description of Images Based on Binary Tree" J.of IIEE. vol.22, No.5. 451-457 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Ryo Takamatsu et.al.: "An observation system for object detection with the optimal viewpoint and visual field" ACCV'93. 640-643 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Ryo Takamatsu et.al.: "Object detection with the optimal viewpoint and visual field" IJNCC'93. 215-218 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Ryo Takamatsu et.al.: "A Study on Optimal Viewpoint and Visual Field for Extraction of an Appearing Object" Tech.Report of IEICE. PRU92-125. 57-63 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Kazuyuki Nako et.al.: "A New Character Segmentation Method for Handwritten Documents Based on Differential Structure of Blurred Document Image" Tech.Report of IEICE. PRU93-131. 9-16 (1994)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Satoshi Arai et.al.: "A Region Extraction Method Based on Gaussian Segmentation" Tech.Report of IEICE. PRU94-66. 17-22 (1994)

    • Description
      「研究成果報告書概要(欧文)」より

URL: 

Published: 1996-04-15  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi