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Human visual system inspired object detection and recognition

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3 Author(s)
Mandal, D. ; Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA ; Panetta, K. ; Agaian, S.

This paper presents a new generic framework for human visual system inspired object detection and recognition and introduces the idea of feature extraction based on the human visual sensitivity. These methods can greatly enhance robotic vision applications. Additionally a new computationally effective object detection algorithm is presented based on image morphology and visual sensitivity. This new method surpasses the performance of the existing method based on traditional edge detectors. We also present the effectiveness of the algorithm on under-illuminated images.

Published in:

Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on

Date of Conference:

23-24 April 2012