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Proceedings ArticleDOI

Pedestrian detection in infrared images using local thresholding

TLDR
A new and efficient approach for automatic pedestrian detection in infrared images that outperforms in both subjective and objective evaluation is presented.
Abstract
This paper presents a new and efficient approach for automatic pedestrian detection in infrared images. The approach consists of three steps; initially, background subtraction model designed based on the input image intensity properties of target and background region to suppress the noise in image. Secondly, order statistics filter is applied on the background suppressed image to enhance the target and suppress the noise leftover, if any, from the image. Finally, Gaussian function based local thresholding is used to detect the pedestrian in image. The experimental results of the proposed method are compared with the existing methods. From the results observed, the proposed method outperforms in both subjective and objective evaluation.

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Book ChapterDOI

The Role of Infrared Thermal Imaging in Road Patrolling Using Unmanned Aerial Vehicles

TL;DR: The optimal temperature thresholding in conjunction with morphological operations automates the process of object detection, where the pseudo-coloring algorithm is introduced to convert the thermograms into RGB space which enhances the images for better visualization.
Book ChapterDOI

Infrared Image Pedestrian Detection Techniques with Quantitative Analysis

TL;DR: Global background subtraction, adaptive filter and local adaptive thresholding based Pedestrian Detection method proposed to overcome problems in pedestrian detection in infrared images and it is deduced that the proposed method earned excellent detection rate when compared to other methods.
References
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Journal ArticleDOI

A new method for gray-level picture thresholding using the entropy of the histogram

TL;DR: Two methods of entropic thresholding proposed by Pun (Signal Process.,2, 1980, 223–237;Comput.16, 1981, 210–239) have been carefully and critically examined and a new method with a sound theoretical foundation is proposed.
Journal ArticleDOI

Image Analysis Using Mathematical Morphology

TL;DR: The tutorial provided in this paper reviews both binary morphology and gray scale morphology, covering the operations of dilation, erosion, opening, and closing and their relations.
Proceedings ArticleDOI

Max-mean and max-median filters for detection of small targets

TL;DR: In this paper, the authors investigated the usefulness of Max-Mean and Max-Median filters in preserving the edges of clouds and structural backgrounds, which helps in detecting small-targets.
Journal ArticleDOI

Analysis of new top-hat transformation and the application for infrared dim small target detection

TL;DR: Good performance of the application for infrared dim small target detection is obtained, which could be ascribed to the proper selection of structuring elements based on the properties and three types of multi-scale operations are discussed in detail.
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