Earticle

초록

영어

This work proposes a novel biologically motivated visual selective attention model for efficient visual searching, which is implemented by integrating three attention mechanisms: bottom-up attention, top-down attention, and spatial attention. Bottom-up attention generates salient locations by reflecting top-down biases as well as three primitive visual features: intensity, edge and color. Prototype-based object perception is proposed for top-down attention, in which a 3-D color histogram is applied to generate a prototype of the target object. And experience based spatial attention can determine acceleration to localize a target object, which is modeled by using memorized spatial location information updated by object-localization experience. In order to verify the performance of the proposed visual selective attention model, we apply the proposed model to a real application in pedestrian traffic signal detection, to be utilized as part of a blind guide system. The proposed selective attention model shows plausible performance in terms of accuracy and computation time while efficiently localizing pedestrian traffic signals.

목차

Abstract
 1. Introduction
 2. Proposed Visual Selective Attention Model
  2.1. Bottom-Up Attention with Top-Down Bias
  2.2. Prototype-Based Object Perception for Top-Down Attention
  2.3. Spatial Attention
  2.4. Integrated Selective Attention for Efficient Target Object Localization
 3. Experimental Results
 4. Conclusion and Future Works
 Acknowledgments
 References

키워드

저자

• Jaeho Oh [ Department of Information and Communication Engineering, Dongguk University ]
• Chang-Beom Kwon [ Department of Information and Communication Engineering, Dongguk University ]
• Sang-Woo Ban [ Department of Information and Communication Engineering, Dongguk University ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605