Cognitive resource allocation optimization for real-time multiple object recognition

Ryohei Ozawa, Mamoru Minami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a method of allocation of cognitive resource for efficient real-time multiple object recognition in robot vision. For human beings and even high-performance computers, the number of recognizable objects is limited at an instant time because cognitive and computational resources are limited. Thus, real-time reallocation of computational resources to the multiple objects is logical for robot to recognize them in real time under dynamically changing environment. We propose such dynamical reallocation scheme for robots recognize multiple objects effectively in real time. Positions of object models are represented by the genes of GA. The individuals of GA are allocated for recognizing multiple objects depending on the situation and priority of the object recognition. The proposed method is able to improve the speed of multiple object recognition. Some simulations of multiple object recognition will show the effectiveness of the method.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages1930-1935
Number of pages6
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
Duration: Aug 20 2008Aug 22 2008

Other

OtherSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
CountryJapan
CityTokyo
Period8/20/088/22/08

Fingerprint

Object recognition
Resource allocation
Robots
Computer vision
Genes

Keywords

  • Cognitive resource allocation
  • Gazing-GA
  • Visual attention

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Cognitive resource allocation optimization for real-time multiple object recognition. / Ozawa, Ryohei; Minami, Mamoru.

Proceedings of the SICE Annual Conference. 2008. p. 1930-1935 4654977.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ozawa, R & Minami, M 2008, Cognitive resource allocation optimization for real-time multiple object recognition. in Proceedings of the SICE Annual Conference., 4654977, pp. 1930-1935, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, Japan, 8/20/08. https://doi.org/10.1109/SICE.2008.4654977
Ozawa, Ryohei ; Minami, Mamoru. / Cognitive resource allocation optimization for real-time multiple object recognition. Proceedings of the SICE Annual Conference. 2008. pp. 1930-1935
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