Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Byung-Gil Han"'
Publikováno v:
Sensors, Vol 20, Iss 23, p 6779 (2020)
With the increase in research cases of the application of a convolutional neural network (CNN)-based object detection technology, studies on the light-weight CNN models that can be performed in real time on the edge-computing devices are also increas
Externí odkaz:
https://doaj.org/article/5a66259102c048d69536de422921e766
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2780 (2020)
License Plate Character Recognition (LPCR) is a technology for reading vehicle registration plates using optical character recognition from images and videos, and it has a long history due to its usefulness. While LPCR has been significantly improved
Externí odkaz:
https://doaj.org/article/c237a86ff9b44c9aa3a27dde7c9a0d01
Publikováno v:
KIISE Transactions on Computing Practices. 23:408-416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29277b71c049366bb4d362cdd32a9fa
https://doi.org/10.5626/ktcp.2017.23.7.408
https://doi.org/10.5626/ktcp.2017.23.7.408
Publikováno v:
Sensors
Volume 20
Issue 23
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6779, p 6779 (2020)
Volume 20
Issue 23
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6779, p 6779 (2020)
With the increase in research cases of the application of a convolutional neural network (CNN)-based object detection technology, studies on the light-weight CNN models that can be performed in real time on the edge-computing devices are also increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90089d4d8a9da81c25e21f1b39e23cf5
https://doi.org/10.3390/s20236779
https://doi.org/10.3390/s20236779
Publikováno v:
Applied Sciences
Volume 10
Issue 8
Applied Sciences, Vol 10, Iss 2780, p 2780 (2020)
Volume 10
Issue 8
Applied Sciences, Vol 10, Iss 2780, p 2780 (2020)
License Plate Character Recognition (LPCR) is a technology for reading vehicle registration plates using optical character recognition from images and videos, and it has a long history due to its usefulness. While LPCR has been significantly improved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bf004b5857a2b6bd02f5503ac448f59
https://doi.org/10.3390/app10082780
https://doi.org/10.3390/app10082780
Publikováno v:
ICUFN
In this paper, we proposes a novel drowsiness detection algorithm using a camera near the dashboard. The proposed algorithm detects the driver's face in the image and estimates the landmarks in the face region. In order to detect the face, the propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9dd39796ee7e5cf12f387195ce8fcba
https://doi.org/10.1109/icufn.2018.8436988
https://doi.org/10.1109/icufn.2018.8436988
Publikováno v:
ICTC
In this paper, we propose a real-time detection algorithm using a MCT AdaBoost classifier which detects two-wheeler in a blind spot. The proposed algorithm uses a cascade classifier generated by AdaBoost learning based on the MCT feature vector. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b42f11122dd5d4b959e0c4dcabc6aad
https://doi.org/10.1109/ictc.2017.8191030
https://doi.org/10.1109/ictc.2017.8191030
Publikováno v:
Journal of IEMEK. 9:261-268
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5acafddaa1b0921d0b9c7773eb3816
https://doi.org/10.14372/iemek.2014.9.5.261
https://doi.org/10.14372/iemek.2014.9.5.261
Autor:
Byung-Gil Han, Kil-Taek Lim
Publikováno v:
Journal of IEMEK. 8:137-143
This paper describes an implementation of face detection technology for a real-time application on the Android platform. Java class of Face-Detection for detection of human face is provided by the Android API. However, this function is not suitable t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674bce42ea09e3e5dddefe1c57c939f3
https://doi.org/10.14372/iemek.2013.8.3.137
https://doi.org/10.14372/iemek.2013.8.3.137
Publikováno v:
ICUFN
In this paper, we proposes a novel tracking algorithm combining Kalman Filter with mean-shift. Kalman Filter predicts the vehicle position in the next frame. Mean-shift finds the best candidate which has maximum similarity with the tracked vehicle in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4580a6d7183bec01910a8e67e44a3126
https://doi.org/10.1109/icufn.2016.7536983
https://doi.org/10.1109/icufn.2016.7536983