Search Results - "Siriteerakul, Teera"

Mixed Thai-English Character Classification Based on Histogram of Oriented Gradient Feature by Siriteerakul, Teera

“…The task of classifying mixed Thai-English characters carries considerable challenges due to the number and complexity of the characters. This paper proposes…”
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Head direction estimation from low resolution images with scene adaptation by Chamveha, Isarun, Sugano, Yusuke, Sugimura, Daisuke, Siriteerakul, Teera, Okabe, Takahiro, Sato, Yoichi, Sugimoto, Akihiro

“…•A head pose estimation method that adapts to individual scenes is proposed.•The method automatically collects training dataset for head pose estimators.•The…”
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Physical form handling in challenging imaging environment by Siriteerakul, Teera

“…Even in a highly digitized world most of us live in, paper or physical forms (survey, multiple choices exam, etc.) are still playing an important roles. They…”
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Robust tracking algorithm with designed marker for limited-power computer by Siriteerakul, Teera, Gullayanon, Rutchanee

“…Object tracking is an important part of many visual systems. The robot navigation task, for example, does not only require a robust and accurate tracking, but…”
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Support Vector Machine accuracy improvement with k-means clustering by Siriteerakul, Teera, Boonjing, Veera

“…Support Vector Machine (SVM) is a classifier tool which, originally, uses a hyperplane as a border for separating two classes of data in hyperspace. However,…”
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Estimating change in head pose from low resolution video using LBP-based tracking by Siriteerakul, T., Sato, Y., Boonjing, V.

“…Head pose estimation from low resolution video can be a difficult task due to the limited quantity and quality of pixels which can be harvested for…”
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Appearance-based head pose estimation with scene-specific adaptation by Chamveha, I., Sugano, Y., Sugimura, D., Siriteerakul, T., Okabe, T., Sato, Y., Sugimoto, A.

“…We propose an appearance-based head pose estimation method that can be automatically adapted to individual scenes. Appearance-based estimation methods usually…”
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Head Pose Classification from Low Resolution Images Using Pairwise Non-Local Intensity and Color Differences by Siriteerakul, T, Sugimura, D, Sato, Y

“…In this work, we propose novel image descriptors for identifying head poses in low resolution images. The key novelty of our method is to exploit two types of…”
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