Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jednipat Moonrinta"'
Autor:
Aniqua Nusrat Zereen, Anubinda Gurung, Amir Rajak, Jednipat Moonrinta, Matthew N. Dailey, Mongkol Ekpanyapong, Roongtiwa Vachalathiti, Sunee Bovonsunthonchai
Publikováno v:
Multimedia Tools and Applications.
Real time detection of falls and unstable movement by elderly people is vital to their quality of life and safety. We present an edge processing device integrated with a cloud computation framework that can be used for activity profiling as well as t
Autor:
Muhammad Khalid Farooq, Arif Mahmood, Mongkol Ekpanyapong, Matthew N. Dailey, Jednipat Moonrinta
Publikováno v:
Neural Computing and Applications. 33:13505-13523
Most super-resolution (SR) methods proposed to date do not use real ground-truth high-resolution (HR) and low-resolution (LR) image pairs; instead, the vast majority of methods use synthetic LR images generated from the HR images. This approach yield
Publikováno v:
International Journal on Advanced Science, Engineering and Information Technology. 12:1244
Publikováno v:
Robotics and Autonomous Systems. 74:1-14
Localization capabilities are necessary for autonomous robots that need to keep track of their position with respect to a surrounding environment. A pursuit robot is an autonomous robot that tracks and pursues a moving target, requiring accurate loca
Autor:
Sanjana Jain, Mongkol Ekpanyapong, Nabil Tahmidul Karim, Matthew N. Dailey, Jednipat Moonrinta
Publikováno v:
2018 International Workshop on Advanced Image Technology (IWAIT).
Statistics about customer satisfaction are extremely valuable for retail stores. We present an automated approach to obtaining this information using image processing and deep learning. Our system combines face detection and tracking, best view estim
Autor:
Matthew N. Dailey, Mongkol Ekpanyapong, Supakorn Siddhichai, Jednipat Moonrinta, Ramesh Marikhu
Publikováno v:
2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
Dangerous lane changing, illegal overtaking, and driving in the wrong lane account for a high percentage of the total accidents that occur on the road, second only to accidents due to over-speeding. Automated traffic applications typically encompass
Publikováno v:
ICARCV
Through automated agricultural inspection, farmers can potentially achieve better productivity and accurately predict yields and crop quality. A variety of sensors can be used for agricultural inspection, but the cheapest and most information-rich is