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Clutter Removal Algorithm Based on Grid Density with a Recursive Approach for Rockfall Detection in 3D point clouds from a Terrestrial LiDAR Scanner
Phuriphan Prathipasen;Pitisit Dillon;Pakinee Aimmanee;Suree Teerarungsigul;Sasiwimol Nawawitphisit;Suthum Keerativittayanun;Jessada Karnjana
2021 16th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
In analyzing 3D point clouds obtained from a terrestrial LiDAR scanner for rockfall detection, a widely-used clutter removal algorithm is Nearest Neighbor Clutter Removal (NNCR). However, there is a critical problem regarding computational complexity of NNCR. Subsequently, we presented a new algorithm for clutter removal based on grid density as a solution to this problem. Nevertheless, the previo...Show More
Clutter Removal Algorithm Based on Grid Density with a Recursive Approach for Rockfall Detection in 3D point clouds from a Terrestrial LiDAR Scanner
Phuriphan Prathipasen;Pitisit Dillon;Pakinee Aimmanee;Suree Teerarungsigul;Sasiwimol Nawawitphisit;Suthum Keerativittayanun;Jessada Karnjana
Year: 2021 | Conference Paper |
Distance Estimation Between Wireless Sensor Nodes Using RSSI and CSI with Bounded-Error Estimation and Theory of Evidence for a Landslide Monitoring System
Kittikom Sangrit;Jessada Karnjana;Seksan Laitrakun;Kazuhiko Fukawa;Somchart Fugkeaw;Suthum Keerativittayanun
2021 13th International Conference on Information Technology and Electrical Engineering (ICITEE)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
The wireless sensor network (WSN) deployed in a landslide-prone area is equipped with sensors capturing environmental parameters, e.g., rainfall, moisture, etc. Among them, the ground displacement rate is essential. However, measuring it requires additional sensors such as an extensometer and their installation by the specialist. This study aims to utilize some information available in the WSN wit...Show More
Speech Activity Detection Using a Fusion of Dense Convolutional Network in the Movie Audio
Pantid Chantangphol;Sasiporn Usanavasin;Jessada Karnjana;Surasak Boonkla;Suthum Keerativittayanun;Anocha Rugchatjaroen;Takahiro Shinozaki
2020 35th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Speech activity detection (SAD) is a critical preparation process for speech-based applications. The speech activity detection is used to identify the speech in an audio recording. This paper aims to propose a speech activity detection on the entertainment media domain based on CNN. The fusion of two Dense Convolutional Network (DenseNet) with different feature extraction by using Dempster-Shafer ...Show More
A Light-Weight Artificial Neural Network for Speech Emotion Recognition using Average Values of MFCCs and Their Derivatives
Panuwit Nantasri;Ekachai Phaisangittisagul;Jessada Karnjana;Surasak Boonkla;Suthum Keerativittayanun;Anocha Rugchatjaroen;Sasiporn Usanavasin;Takahiro Shinozaki
2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Year: 2020 | Conference Paper |
Cited by: Papers (20)
Due to the limitation of memory and computational power in the embedded system, this work proposes a novel approach to create a useful set of features for improving speech emotion recognition (SER) system. Typically, Mel Frequency Cepstral Coefficients ( MFCCs) i s w idely u sed a s f eatures of SER system. In order to reduce the number of parameters and computational burden in SER applications, a...Show More
A Light-Weight Deep Convolutional Neural Network for Speech Emotion Recognition using Mel-Spectrograms
Kamin Atsavasirilert;Thanaruk Theeramunkong;Sasiporn Usanavasin;Anocha Rugchatjaroen;Surasak Boonkla;Jessada Karnjana;Suthum Keerativittayanun;Manabu Okumura
2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Year: 2019 | Conference Paper |
Cited by: Papers (8)
At present, speech emotion recognition is a challenging field of studies about emotions of speakers. Speech emotion recognition also enhances interaction between humans and machines. In many situations (e.g. embedded systems), we have to detect emotion in speech within limitation of both computing and memory resources. Even several previous works reported that a reasonable recognition rate can be ...Show More
Image Enhancement Technique Based on Human Visual Perception and Multi-exposure Fusion for a Landslide-prone Area Monitoring System
Suthum Keerativittayanun;Kittikom Sangrit;Pattanun Srisukanun;Pitisit Dillon;Jessada Karnjana
2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
Year: 2019 | Conference Paper |
Cited by: Papers (1)
In this paper, we propose a new technique for enhancing image quality and generating a representative image from a set of input images taken from a landslide-prone area monitoring camera at different times of a day. Thus, less-visible areas in the input images are different from one another. First, the proposed technique enhances each input image by deploying a scaling function based on human visu...Show More
Blind, SVD-based Scheme for Information Hiding in Digital Images
Kittikom Sangrit;Tidanat Kumpuak;Suthum Keerativittayanun;Jessada Karnjana
2018 International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Year: 2018 | Conference Paper |
In this paper, we propose a scheme based on the singular value decomposition for information hiding in digital images. The hidden information is embedded into a transparent, color, host image by modifying some singular values of a matrix that represents one image channel with the lowest pixel intensity. In order to blindly extract the hidden information, we develop new embedding and extraction rul...Show More
Less-Visible Contrast Enhancement Based on Non-Linear Scaling Function and Singular Value Decomposition
Suthum Keerativittayanun;Kazunori Kotani;Toshiaki Kondo;Teera Phatrapornnant;Jessada Karnjana
2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
Typically, the conventional image enhancement methods have a problem concerning the over- enhancement in an image which contains both less-visible and nicely-visible areas in common. To solve such a problem, we propose a novel contrast enhancement method based on a non-linear scaling function and the singular value decomposition (SVD). The SVD is used to decompose the image into several layers. So...Show More
An innovative of pyramid-based fusion for generating the HDR images in common display devices
Suthum Keerativittayanun;Toshiaki Kondo;Kazunori Kotani;Teera Phatrapornnant
2015 14th IAPR International Conference on Machine Vision Applications (MVA)
Year: 2015 | Conference Paper |
In this paper, a method for generating the HDR images in the common devices is introduced. It can be done without computing the step of tone mapping compression. By using the dodge and burn technique with the pyramid-based technique, the resulted image can achieve both in global and local information. Firstly, a set of different exposed images in each pixel is measured for representing the well-ex...Show More
3D data acquisition using active stereo based on spatial neighbourhood technique
S. Keerativittayanun;T. Kondo;P. Sira-uksorn;T. Phatrapornant;M. Sato
The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011
Year: 2011 | Conference Paper |
Cited by: Papers (3)
Active stereo using spatial neighbourhood of a structured light pattern is a well-known technique for acquiring 3D information of an object or scene. By projecting a pattern onto a targeted object and taking the image, the structured light is measured as coded words and the corresponding points between a pair of stereo images can be found. Finally, the 3D structure of the object is reconstructed u...Show More
3D scan of a color object using a color structured light pattern
S. Keerativittayanun;T. Kondo;P. Sira-uksorn;T. Phatrapornant;M. Sato
2011 IEEE 7th International Colloquium on Signal Processing and its Applications
Year: 2011 | Conference Paper |
Cited by: Papers (1)
Colour structured light with spatial neighbourhood is one of the famous techniques that are used to acquire 3D information. By projecting the pattern onto the targeted object and taking the image, the structured light is measured as coded words and the corresponding points could be found. Finally, the process to reconstruct 3D information could be solved using the principle of triangulation. A maj...Show More
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