Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Young Giu Jung"'
Autor:
Sung-Won Kang, Hyeob Choi, Hyung-Il Park, Byoung-Gun Choi, Hyobin Im, Dongjun Shin, Young-Giu Jung, Jun-Young Lee, Hong-Won Park, Sukyung Park, Jung-Sim Roh
Publikováno v:
Sensors, Vol 17, Iss 11, p 2560 (2017)
Spinal disease is a common yet important condition that occurs because of inappropriate posture. Prevention could be achieved by continuous posture monitoring, but most measurement systems cannot be used in daily life due to factors such as burdensom
Externí odkaz:
https://doaj.org/article/68c884a795474d719e9e449a491646b1
Publikováno v:
Soft Computing. 22:4205-4219
Most of the existing electronic warfare systems use a threat library to identify radar signals. In this paper, new feature parameters for classifying various types of radar signals are introduced. The conventional method uses frequency, pulse repetit
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
A threat library is used in most of the existing electronic warfare systems to identify or execute jamming against various radar signals. The conventional method uses frequency, pulse repetition interval, and pulse width sampled from the pulse descri
Autor:
Jung-Sim Roh, Hyung-Il Park, Sukyung Park, Byoung-Gun Choi, Hong-Won Park, Hyobin Im, Sung-Won Kang, Young-Giu Jung, Jun-Young Lee, Hyeob Choi, Dongjun Shin
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 11; Pages: 2560
Sensors, Vol 17, Iss 11, p 2560 (2017)
Sensors; Volume 17; Issue 11; Pages: 2560
Sensors, Vol 17, Iss 11, p 2560 (2017)
Spinal disease is a common yet important condition that occurs because of inappropriate posture. Prevention could be achieved by continuous posture monitoring, but most measurement systems cannot be used in daily life due to factors such as burdensom
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811050404
MUE/FutureTech
MUE/FutureTech
In this paper we propose to develop technology for recognizing Jersey number of each athlete in real time to do sports video indexing in multi-player game. More than two persons are often detected as one object due to frequent collisions between pers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363a250dd6362544abe6506f91da5265
https://doi.org/10.1007/978-981-10-5041-1_114
https://doi.org/10.1007/978-981-10-5041-1_114
Publikováno v:
Multimedia Tools and Applications. 71:717-740
This paper addresses the automatic classification of X-rated videos by analyzing its obscene sounds. In this paper, we propose the optimized repeated curve-like spectrum feature for classifying obscene sounds and the skip-and-analysis processing for
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319488806
ECCV Workshops (2)
ECCV Workshops (2)
This paper presents a robust multi-class multi-object tracking (MCMOT) formulated by a Bayesian filtering framework. Multi-object tracking for unlimited object classes is conducted by combining detection responses and changing point detection (CPD) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af87c1e3fed1ab97db447692c746a67
https://doi.org/10.1007/978-3-319-48881-3_6
https://doi.org/10.1007/978-3-319-48881-3_6
Publikováno v:
ETRI Journal. 29:292-299
In this paper, we present a speech recognition system using a throat microphone. The use of this kind of microphone minimizes the impact of environmental noise. Due to the absence of high frequencies and the partial loss of formant frequencies, previ
Publikováno v:
2011 International Conference on Information Science and Applications.
In this paper, a valid frequency range of throat signal analyses is presented. Compare to speech signals, the throat signals have many differences in the amount of information. In this context, targeting on throat signals to find valid frequency rang
Publikováno v:
2008 Digest of Technical Papers - International Conference on Consumer Electronics.
A multimodal interface can achieve more natural and effective human-computer interaction. In this paper, we present an isolated-word recognizer using a fusion of speech and natural visual gestures. The fusion of audio and visual signals can be carrie