Method of Processing Closed-Circuit Television Digital Images for Poor Visibility Identification

Author:

Hagiwara Toru1,Ota Yuji2,Kaneda Yasuhiro3,Nagata Yasuhiro3,Araki Keiji4

Affiliation:

1. Infrastructure Planning and Design Laboratory, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, Japan.

2. Docon Co., Ltd., Consulting Engineers, Hokkaido, Japan.

3. Hokkaido Development Engineering Center, Hokkaido, Japan.

4. Hokkaido Office, Japan Weather Association, Hokkaido, Japan.

Abstract

This study proposes a method for identifying poor visibility under adverse weather conditions by processing closed-circuit television (CCTV) digital images. The weighted intensity of the power spectrum (WIPS) was examined to determine its applicability as a value for the identification of poor visibility. The magnitude of WIPS represents the difference in spatial frequencies within the image on the basis of the human contrast sensitivity function. WIPS was calculated by the following image-processing procedure: the spatial frequency of the cutout image was calculated with a two-dimensional Fourier transform, and the power spectrum of the cutout image was calculated; WIPS was totaled at spatial frequencies that ranged from 1.5 to 18 cycles per degree. Two kinds of experiments were performed to determine whether WIPS represented the subjective visibility assessment values (SVAVs) given by the test subjects. Clear linear relationships between WIPS and SVAVs were found in both experiments. In addition, the two correlation lines overlapped within the whole range of WIPS. These results suggest that WIPS may be appropriate for identifying poor visibility by the use of digital images.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

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1. An In-vehicle Edge Computing System for Monitoring Nighttime Winter Road Visibility;2023 IEEE 12th Global Conference on Consumer Electronics (GCCE);2023-10-10

2. Small Object Detection and Tracking: A Comprehensive Review;Sensors;2023-08-03

3. A STUDY ON VISIBILITY EVALUATION ON THE ROAD IN WINTER USING PRECIPITATION INTENSITY OF XRAIN AND IMAGES CAPTURED BY CCTV CAMERA;Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management);2023

4. VISIBILITY ESTIMATION VIA SPATIAL FREQUENCY AND DEEP LEARNING-BASED MACHINE LEARNING—AFFECTION OF FEATURE SELECTION IN SPATIAL FREQUENCY-BASED FEATURES—;Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management);2022

5. A Survey of Approaches for Estimating Meteorological Visibility Distance Under Foggy Weather Conditions;Global Advancements in Connected and Intelligent Mobility;2020

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