Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Chi-Kien Huynh"'
Publikováno v:
Future Data and Security Engineering ISBN: 9783030913861
FDSE
FDSE
Vehicle density estimation has an important role in intelligent traffic systems. As of now, most established studies only focused on areas where people mainly travel by four-wheeled vehicles rather than motorbikes. However, in some countries such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ba19021638934cadd83e6a93535d79c
https://doi.org/10.1007/978-3-030-91387-8_12
https://doi.org/10.1007/978-3-030-91387-8_12
Publikováno v:
CRC
Recognizing mathematical expressions on raster images usually consists of two steps: detecting individual symbols and analyzing their spatial structure to form a coherent equation. In this work, we focus on the first step and propose a detection meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6086d2cbbf2fffbc2275ad43766a677
https://doi.org/10.1109/crc.2018.00012
https://doi.org/10.1109/crc.2018.00012
Publikováno v:
2016 IEEE Sixth International Conference on Communications and Electronics (ICCE).
Motorbike detection is not a novel problem. However, as it is not a common vehicle in most countries in the world, there is barely enough research on vision-based methods for motorbike detection, even more so for motorbike detection in dense clusters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51367fa65105f6948c273df4606dc1a3
https://doi.org/10.1109/cce.2016.7562664
https://doi.org/10.1109/cce.2016.7562664
Autor:
Chi-Kien Huynh, Thanh-Sach Le
Publikováno v:
ACOMP
Motorbike is an interesting subject for both the object counting and object detecting problem. In developing countries, motorbike is the most popular vehicle. In traffic, knowledge of motorbike's count will reveal the overall density while knowing of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3aec72d0d267d19f54ba55ba07a0571
https://doi.org/10.1109/acomp.2015.32
https://doi.org/10.1109/acomp.2015.32