@article{ART002927638},
author={Jeong-In Park},
title={Vanishing point-based 3D object detection method for improving traffic object recognition accuracy},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={1},
pages={93-101},
doi={10.9708/jksci.2023.28.01.093}
TY - JOUR
AU - Jeong-In Park
TI - Vanishing point-based 3D object detection method for improving traffic object recognition accuracy
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 1
PB - The Korean Society Of Computer And Information
SP - 93
EP - 101
SN - 1598-849X
AB - In this paper, we propose a method of creating a 3D bounding box for an object using a vanishing point to increase the accuracy of object recognition in an image when recognizing an traffic object using a video camera. Recently, when vehicles captured by a traffic video camera is to be detected using artificial intelligence, this 3D bounding box generation algorithm is applied. The vertical vanishing point (VP1) and horizontal vanishing point (VP2) are derived by analyzing the camera installation angle and the direction of the image captured by the camera, and based on this, the moving object in the video subject to analysis is specified. If this algorithm is applied, it is easy to detect object information such as the location, type, and size of the detected object, and when applied to a moving type such as a car, it is tracked to determine the location, coordinates, movement speed, and direction of each object by tracking it. Able to know. As a result of application to actual roads, tracking improved by 10%, in particular, the recognition rate and tracking of shaded areas (extremely small vehicle parts hidden by large cars) improved by 100%, and traffic data analysis accuracy was improved.
KW - Vanishing Point;3-Dimension;Bounding Box;Object Detection;Vehicle Tracking
DO - 10.9708/jksci.2023.28.01.093
ER -
Jeong-In Park. (2023). Vanishing point-based 3D object detection method for improving traffic object recognition accuracy. Journal of The Korea Society of Computer and Information, 28(1), 93-101.
Jeong-In Park. 2023, "Vanishing point-based 3D object detection method for improving traffic object recognition accuracy", Journal of The Korea Society of Computer and Information, vol.28, no.1 pp.93-101. Available from: doi:10.9708/jksci.2023.28.01.093
Jeong-In Park "Vanishing point-based 3D object detection method for improving traffic object recognition accuracy" Journal of The Korea Society of Computer and Information 28.1 pp.93-101 (2023) : 93.
Jeong-In Park. Vanishing point-based 3D object detection method for improving traffic object recognition accuracy. 2023; 28(1), 93-101. Available from: doi:10.9708/jksci.2023.28.01.093
Jeong-In Park. "Vanishing point-based 3D object detection method for improving traffic object recognition accuracy" Journal of The Korea Society of Computer and Information 28, no.1 (2023) : 93-101.doi: 10.9708/jksci.2023.28.01.093
Jeong-In Park. Vanishing point-based 3D object detection method for improving traffic object recognition accuracy. Journal of The Korea Society of Computer and Information, 28(1), 93-101. doi: 10.9708/jksci.2023.28.01.093
Jeong-In Park. Vanishing point-based 3D object detection method for improving traffic object recognition accuracy. Journal of The Korea Society of Computer and Information. 2023; 28(1) 93-101. doi: 10.9708/jksci.2023.28.01.093
Jeong-In Park. Vanishing point-based 3D object detection method for improving traffic object recognition accuracy. 2023; 28(1), 93-101. Available from: doi:10.9708/jksci.2023.28.01.093
Jeong-In Park. "Vanishing point-based 3D object detection method for improving traffic object recognition accuracy" Journal of The Korea Society of Computer and Information 28, no.1 (2023) : 93-101.doi: 10.9708/jksci.2023.28.01.093
