Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Nattachai Watcharapinchai"'
Publikováno v:
MultiMedia Modeling ISBN: 9783319735993
MMM (2)
MMM (2)
In this paper, we present the Sloth Search System (SSS) for large scale video browsing. Our key concept is to apply object recognition and scene classification to generate keyword tags from video images. This indexing process is performed only on sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56d57fa829634ce69c1958a8b99fe22a
https://doi.org/10.1007/978-3-319-73600-6_46
https://doi.org/10.1007/978-3-319-73600-6_46
Publikováno v:
AVSS
From the empirical studies, it is quite difficult for the license plate recognition to perform 100% accuracy in a real world environment. Nevertheless, it is common that only a few characters are misread from a license plate recognition system. In th
Publikováno v:
AVSS
Different types of vehicles, such as buses and cars, can be quite different in shapes and details. This makes it more difficult to try to learn a single feature vector that can detect all types of vehicles using a single object class. We proposed an
Publikováno v:
AVSS
Real-time image processing on low cost embedded systems is still a challenging research area. For this embedded platform, there is a trade-off between accuracy and processing time. We proposed a pedestrian detection method for thermal images that can
Autor:
Yingbin Zheng, Tao Hu, Guang Han, Sitapa Rujikietgumjorn, Liang Wang, Longyin Wen, Yongzhen Huang, Yi Wei, Kannappan Palaniappan, Tatiana Khanova, Hong Wang, Martin Lauer, Fabio Galasso, Koray Ozcan, Xiaoyi Yu, Yao Lu, Wei Tian, Thomas Sikora, Dmitriy Anisimov, Filiz Bunyak, Pierluigi Carcagnì, Erik Bochinski, Li Wang, Xiangyang Xue, Lipeng Ke, Yuezun Li, Marco Del Coco, Nattachai Watcharapinchai, Sikandar Amin, Nenghui Song, Noor M. Al-Shakarji, Hao Ye, Volker Eiselein, Tino Kutschbach, Shuo Wang, Yuqi Zhang, Dawei Du, Ming-Ching Chang, Siwei Lyu, Honggang Qi
Publikováno v:
AVSS
The rapid advances of transportation infrastructure have led to a dramatic increase in the demand for smart systems capable of monitoring traffic and street safety. Fundamental to these applications are a community-based evaluation platform and bench
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f3607721dbdd77e70403d7adbfdd0e5
http://hdl.handle.net/11573/1317829
http://hdl.handle.net/11573/1317829
Autor:
Sarin Watcharabutsarakham, Wantana Sriratanasak, Ithipan Methasate, Wasin Sinthupinyo, Nattachai Watcharapinchai
Publikováno v:
2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE).
This paper presents an image process for monitoring brown planthopper (BPH) in rice fields. Our system consists of a mobile application and online services. The smart phone is used to capture images of BPH which was adhered on the rice stem. We appli
Publikováno v:
Journal of Electronic Imaging. 26:043009
An improvement in the method of automatic vehicle classification is investigated. The challenges are to correctly classify vehicles regardless of changes in illumination, differences in points of view of the camera, and variations in the types of veh
Publikováno v:
2014 International Computer Science and Engineering Conference (ICSEC).
Machine vision has been applied to various material inspection processes in agricultural industry in order to achieve fast and accurate operation. In this paper, we propose an image processing technique for silkworm eggs analysis. The proposed techni
Publikováno v:
Computer Vision – ACCV 2010 Workshops ISBN: 9783642228216
ACCV Workshops (1)
ACCV Workshops (1)
A novel latent variable modeling technique for image annotation and retrieval is proposed. This model is useful for annotating the images with relevant semantic meanings as well as for retrieving images which satisfy the users query with specific tex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ececbc0ab3ca06afffa04f0a36910a39
https://doi.org/10.1007/978-3-642-22822-3_36
https://doi.org/10.1007/978-3-642-22822-3_36
Publikováno v:
2008 International Symposium on Intelligent Signal Processing and Communications Systems.
The problem of automatic object categorization is investigated under the proposed bag of feature object categorization framework. The framework consists of feature detection and representation which uses the Scale Invariant Feature Transform (SIFT) a