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http://dx.doi.org/10.9717/kmms.2021.24.11.1508

Garbage Dumping Detection System using Articular Point Deep Learning  

MIN, Hye Won (School of Game Engineering, Korea Polytechnic University)
LEE, Hyoung Gu (School of Game Engineering, Korea Polytechnic University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.11, 2021 , pp. 1508-1517 More about this Journal
Abstract
In CCTV environments, a lot of learning image data is required to monitor illegal dumping of garbage with a typical image-based object detection using deep learning method. In this paper, we propose a system to monitor unauthorized dumping of garbage by learning the articular points of the person using only a small number of images without immediate use of the image for deep learning. In experiment, the proposed system showed 74.97% of garbage dumping detection performance with only a relatively small amount of image data in CCTV environments.
Keywords
Articular Point; Deep Learning; Neural Network; Garbage Dumping Detection; CCTV;
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