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Object recognition using sequential images and application to active vision

  • Masaki Onishi
  • Masao Izumi
  • Kunio Fukunaga
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

Abstract

In this paper, we propose an object recognition system which integrates features of an object using sequential images. Recently, it has been recognized ',hat an active vision based on the control of camera position is a hopeful approaches to realize a robust object recognition system. Our system integrates features of the unknown object extracted from sequential images while the camera moves to the best position to recognize the object. Integration of features promises a reliable recognition at early step of camera control. The experimental results show the proposed approach promises a reliable and high speed object recognition.

Keywords

Input Image Sequential Image Object Recognition Model Object Basic Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Masaki Onishi
    • 1
  • Masao Izumi
    • 1
  • Kunio Fukunaga
    • 1
  1. 1.Department of Computer and Systems Sciences, College of EngineeringOsaka Prefecture UniversityOsakaJapan

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