Title: Adaptive pedestrian detection in infrared images using fuzzy enhancement and top-hat transform

Authors: Rajkumar Soundrapandiyan; P.V.S.S.R. Chandra Mouli

Addresses: School of Computing Science and Engineering, VIT University, Vellore 632014, Tamil Nadu, India ' School of Computing Science and Engineering, VIT University, Vellore 632014, Tamil Nadu, India

Abstract: Infrared imaging is the order of the day. Infrared imaging finds its applications extensively in defence related areas. Pedestrian detection in IR image is a challenging problem. This paper addresses this problem using fuzzy-based enhancement followed by top-hat transform. The proposed method is adaptive in the sense that the parameters required for the process are calculated adaptively based on the image characteristics. Experimental results on the standard dataset show the robustness of the proposed method with 90% detection rate of pedestrians under different conditions and outperform the other existing methods.

Keywords: small target detection; infrared images; fuzzy set enhancement; top-hat transform; local adaptive thresholding; pedestrian detection; pedestrians; fuzzy logic; object detection; fuzzy enhanced images.

DOI: 10.1504/IJCVR.2017.081237

International Journal of Computational Vision and Robotics, 2017 Vol.7 No.1/2, pp.49 - 67

Received: 30 Nov 2014
Accepted: 08 Apr 2015

Published online: 07 Dec 2016 *

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