Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Sorn Sooksatra"'
Autor:
Sorn Sooksatra, Sitapa Watcharapinchai
Publikováno v:
Journal of Imaging, Vol 8, Iss 8, p 207 (2022)
Temporal-action proposal generation (TAPG) is a well-known pre-processing of temporal-action localization and mainly affects localization performance on untrimmed videos. In recent years, there has been growing interest in proposal generation. Resear
Externí odkaz:
https://doaj.org/article/04a46e9242cb4562865abe50fd584a8d
Publikováno v:
Songklanakarin Journal of Science and Technology (SJST), Vol 40, Iss 3, Pp 602-608 (2018)
This paper presents a drowsiness detection method for drivers based on visual features in a video sequence. Image intensities are traditionally visual features. However, it is known that they are directly influenced by lighting conditions. We propo
Externí odkaz:
https://doaj.org/article/411d94a19f344183850d7655f2687454
Autor:
Sorn Sooksatra, Sitapa Rujikietgumjorn
Publikováno v:
Journal of Imaging, Vol 7, Iss 12, p 264 (2021)
This paper presents an extended model for a pedestrian attribute recognition network utilizing skeleton data as a soft attention model to extract a local feature corresponding to a specific attribute. This technique helped keep valuable information s
Externí odkaz:
https://doaj.org/article/212d4b64660a4d7b90a94b7f777ce640
Publikováno v:
Journal of Imaging, Vol 6, Iss 5, p 28 (2020)
Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a dif
Externí odkaz:
https://doaj.org/article/0a1dd49f203f444b908676474169d5fe
Publikováno v:
Signal, Image and Video Processing. 14:107-114
Vehicle headlights are the important objects especially in the application of night-time traffic surveillance. A common problem of this task is the similarity between the headlights and their reflections on the road. This paper proposes a novel algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb8c7a7ab55b6dbf86d41cd6a822b5f
https://doi.org/10.1007/s11760-019-01530-4
https://doi.org/10.1007/s11760-019-01530-4
Publikováno v:
Journal of Imaging, Vol 6, Iss 28, p 28 (2020)
Journal of Imaging
Volume 6
Issue 5
Journal of Imaging
Volume 6
Issue 5
Crowd counting is a challenging task dealing with the variation of an object scale and a crowd density. Existing works have emphasized on skip connections by integrating shallower layers with deeper layers, where each layer extracts features in a dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbcb6f806159b2f4089e1aa535f6f726
https://www.mdpi.com/2313-433X/6/5/28
https://www.mdpi.com/2313-433X/6/5/28
Publikováno v:
SITIS
In a surveillance system, the performance of vehicle counting is typically sensitive to the different patterns of traffic density. To address this issue, we proposed the estimation network utilizing intermediate layers for mapping between the appeara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::699d44a54e77ecb405a2b8e60c096f5d
https://doi.org/10.1109/sitis.2019.00047
https://doi.org/10.1109/sitis.2019.00047
Publikováno v:
2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
Headlights classification is the most important part in traffic surveillance at night time. A main problem of those studies is streetlights and light reflections with similar shapes with headlights. Only one frame information may not be enough for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b37a3a3c460ea9bca7765cc5fffaea
https://doi.org/10.1109/sice.2016.7749197
https://doi.org/10.1109/sice.2016.7749197
Publikováno v:
2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
This paper presents a drowsiness detection method for drivers. The drowsiness is detected by monitoring the eye state (open or close). Firstly, the detection of human face and eye regions is performed using the Haar cascade method. We then locate a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeae443eba81a2b49c1c49e8094ac896
https://doi.org/10.1109/ecticon.2015.7206977
https://doi.org/10.1109/ecticon.2015.7206977
Publikováno v:
2015 6th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES).
This paper presents a drowsiness detection for drivers. The drowsiness is detected by monitoring the eye state (open or close). Firstly, human face detection is performed using the Haar cascade method. Within the facial region, we can approximately d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63af04a344d161fa51de678f24a3e807
https://doi.org/10.1109/ictemsys.2015.7110812
https://doi.org/10.1109/ictemsys.2015.7110812