@inproceedings{01d9805ecc5b4abbbefe067dabe3ea22,
title = "Motion detection based on two-piece linear approximation for cumulative histograms of ratio images in Intelligent Transportation Systems",
abstract = "Motion detection is widely used as the key module for extracting moving objects from image sequences in Intelligent Transportation Systems (ITS). In most of the motion detection methods, backgrounds are subtracted from the captured images. This category of methods is called background subtraction. Since standard intensity can be expressed as the multiplication of illumination and reflectance, illumination changes will produce a poor difference image from background subtraction and affect the accuracy of motion detection. In this paper, we use ratio images as the basis of motion detection. To suitably threshold the target images, two-piece linear approximation is proposed for cumulative histograms to prevent the problems in the searching of peaks and valleys in histograms. Experimental results demonstrate that two-piece linear approximation for cumulative histograms performs very well in thresholding the target images. Moreover, the superiority of motion detection based on ratio images over motion detection based on difference images is also depicted in the experiments.",
keywords = "Cumulative histogram, Linear approximation, Motion detection, Ratio image, Thresholding",
author = "Wu, {Quen Zong} and Cheng, {Hsu Yung} and Fan, {Kuo Chin}",
year = "2004",
language = "???core.languages.en_GB???",
isbn = "0780381939",
series = "Conference Proceeding - IEEE International Conference on Networking, Sensing and Control",
pages = "309--314",
booktitle = "Conference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control",
note = "Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control ; Conference date: 21-03-2004 Through 23-03-2004",
}