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http://dx.doi.org/10.9717/kmms.2016.19.4.681

A Recognition Method for Moving Objects Using Depth and Color Information  

Lee, Dong-Seok (Dept. of Computer Software Engineering, Dongeui University)
Kwon, Soon-Kak (Dept. of Computer Software Engineering, Dongeui University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.4, 2016 , pp. 681-688 More about this Journal
Abstract
In the intelligent video surveillance, recognizing the moving objects is important issue. However, the conventional moving object recognition methods have some problems, that is, the influence of light, the distinguishing between similar colors, and so on. The recognition methods for the moving objects using depth information have been also studied, but these methods have limit of accuracy because the depth camera cannot measure the depth value accurately. In this paper, we propose a recognition method for the moving objects by using both the depth and the color information. The depth information is used for extracting areas of moving object and then the color information for correcting the extracted areas. Through tests with typical videos including moving objects, we confirmed that the proposed method could extract areas of moving objects more accurately than a method using only one of two information. The proposed method can be not only used in CCTV field, but also used in other fields of recognizing moving objects.
Keywords
CCTV; Object Detection; Depth Camera;
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Times Cited By KSCI : 7  (Citation Analysis)
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