Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eric-Juwei Cheng"'
Autor:
Ku Young Young, Ding Rong Zheng, Jie Yang, Eric Juwei Cheng, Chin-Teng Lin, Mukesh Prasad, Domingo Mery, Xian Tao
Publikováno v:
Multimedia Tools and Applications. 80:16659-16681
This paper proposes a novel online self-learning detection system for different types of objects. It allows users to random select detection target, generating an initial detection model by selecting a small piece of image sample and continue trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c28cd5841859892909581b19529acf6
https://doi.org/10.1007/s11042-020-09055-6
https://doi.org/10.1007/s11042-020-09055-6
Autor:
Muhammad Tanveer, Bo-Hao Jin, Mukesh Prasad, Chin-Teng Lin, Kuang-Pen Chou, Wen-Chieh Lin, Shantanu Rajora, Eric-Juwei Cheng, Kuu-Young Young
Publikováno v:
Pattern Recognition Letters. 125:71-77
A bstract This paper proposes a two-layer Convolutional Neural Network (CNN) to learn the high-level features which utilizes to the face identification via sparse representation. Feature extraction plays a vital role in real-world pattern recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a31d494bfb0813daeb2264231fcd9ca
https://doi.org/10.1016/j.patrec.2019.03.006
https://doi.org/10.1016/j.patrec.2019.03.006
A fast fused part-based model with new deep feature for pedestrian detection and security monitoring
Autor:
Eric Juwei Cheng, Bing Hong Chen, Jie Yang, Ku Young Young, Chin-Teng Lin, Mukesh Prasad, Pritee Khanna, Xian Tao
Publikováno v:
Measurement. 151:107081
In recent years, pedestrian detection based on computer vision has been widely used in intelligent transportation, security monitoring, assistance driving and other related applications. However, one of the remaining open challenges is that pedestria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5398682b37984e61e997a3acdfabd91
https://doi.org/10.1016/j.measurement.2019.107081
https://doi.org/10.1016/j.measurement.2019.107081
Publikováno v:
2018 International Automatic Control Conference (CACS).
This study proposes a EEG-based prediction system that transform the measured EEG record into an image-liked data for estimating the drowsiness level of drivers. Drowsy driving is one of the main factors to the occurrence of traffic accident. Since d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb2adafc354117aae3e48f632b31cb3c
https://doi.org/10.1109/cacs.2018.8606734
https://doi.org/10.1109/cacs.2018.8606734
Autor:
Eric-Juwei Cheng, Deepak Puthal, Po-Hao Chin, Nabin Sharma, Om Kumar Prasad, Chin-Teng Lin, Michael Blumenstein, Mukesh Prasad
Publikováno v:
Neural Information Processing ISBN: 9783319700892
ICONIP (3)
ICONIP (3)
Feature extraction is an essential step in solving real-world pattern recognition and classification problems. The accuracy of face recognition highly depends on the extracted features to represent a face. The traditional algorithms uses geometric te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34e945ba7e09c06385acec6242b33c59
https://doi.org/10.1007/978-3-319-70090-8_67
https://doi.org/10.1007/978-3-319-70090-8_67
Publikováno v:
Applied Sciences
Volume 9
Issue 23
Volume 9
Issue 23
As a major cause of vehicle accidents, the prevention of drowsy driving has received increasing public attention. Precisely identifying the drowsy state of drivers is difficult since it is an ambiguous event that does not occur at a single point in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05c786b2bb4a266a5125399bedf2a53c
https://doi.org/10.3390/app9235078
https://doi.org/10.3390/app9235078