Yang-Yao Lin, Yi-Hsien Lin, Mao-Jan Lin, Yang-Ming Yeh, Yi-Chang Lu
{"title":"A Depth-Assisted Deblurring Flow Using Dual Cameras with Different Exposure Times","authors":"Yang-Yao Lin, Yi-Hsien Lin, Mao-Jan Lin, Yang-Ming Yeh, Yi-Chang Lu","doi":"10.1109/icce-asia46551.2019.8941598","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941598","url":null,"abstract":"Motion blur is often observed when taking pictures of moving objects under long exposure settings. To reduce motion blur, a well-known temporal-domain approach is to use dual cameras with different exposure times, and the deblurred image can be obtained by subtracting one view from another after image warping. In this paper, we propose to modify the abovementioned flow by including depth information, which can greatly improve the qualities of edges in the deblurred images. The proposed method is very effective, especially for scenes with multiple objects moving in different directions at different depths.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121430041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chinnavat Jatturas, Sornsawan Chokkoedsakul, Pisitpong Devahasting Na Avudhva, Sukit Pankaew, Cherdkul Sopavanit, W. Asdornwised
{"title":"Feature-based and Deep Learning-based Classification of Environmental Sound","authors":"Chinnavat Jatturas, Sornsawan Chokkoedsakul, Pisitpong Devahasting Na Avudhva, Sukit Pankaew, Cherdkul Sopavanit, W. Asdornwised","doi":"10.1109/icce-asia46551.2019.8942209","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942209","url":null,"abstract":"In this paper, we perform comparison techniques for environmental sound classification with multilayer perceptron (MLP) and support vector machine (SVM), and deep learning using new machine learning platforms, i.e., Scikit-Iearn and Tensorflow, respectively. For feature-based classification, principal component analysis of short-time Fourier transform is used as our feature as the front end to MLP and SVM. For deep learning-based classification, convolution+pooling layers is acting as feature extractor from the input image, while fully connected layer will act as a classifier. Our experimental results show that our proposed deep neural network (DNN) models outperform the feature-based sound classification algorithms and the original deep learning work [1].","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133664117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Occluded Facial Recognition with 2DPCA based Convolutional Neural Network","authors":"Sittiphan Sarapakdi, Phaderm Nangsue, Charnchai Pluempitiwirivawej","doi":"10.1109/icce-asia46551.2019.8942204","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942204","url":null,"abstract":"Face occlusions with glasses or scarf are quite common in the real-world scenes, or more seriously, terrorists often cover their faces with sunglasses or a mask to hide themselves from the cameras. Occluded facial recognition is, therefore, an important problem in surveillance & defense department. A system that can recognize faces with occlusions may need to be trained by a huge set of facial databases. To reduce the complexity of an occluded facial recognition system, this paper investigates the effects of the two-dimensional principal component analysis (2DPCA) in the initialization phase on image classification by the convolutional neural network (CNN). Our experiments show that 2DPCA can reduce the image dimension for training while keeping the accuracy rate comparing to using the whole images. Our results, at 0.001 learning rate, showed 81.91% accuracy with 120 eigenvectors for the AR database, and 99.95 % accuracy rate with 190 eigenvectors for the GTAV database.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"438 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115936714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Index","authors":"","doi":"10.1109/icce-asia46551.2019.8941597","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941597","url":null,"abstract":"","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129995652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Relations between Femininity and the Movements in Japanese Traditional Dance","authors":"Nao Shikanai","doi":"10.1109/icce-asia46551.2019.8942189","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942189","url":null,"abstract":"This study focused on Onna Odori, a Japanese traditional dance form performed by a female role, and captured the dance of a Japanese traditional dance master. Stick figures were created from the motion data, and 24 observers evaluated the movements of these figures. The results showed that the dance master's movements were evaluated as being feminine. The movements were further analyzed and compared with data from the motion data of beginners' movements. The results showed significant differences in shoulder inclinations, shoulder positions, waist positions, and the standard deviations of hip movements. Finally, this study clarified the relevance of impressions and movement characteristics to femininity by using covariance structure analysis. The results showed that the femininity of Japanese traditional dance was characterized by “softness,” “stable,” “inclinations of both shoulders,” and “slow.”","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133913226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emilio Brando Villagomez, Roxanne Addiezza King, Mark Joshua Ordinario, Jose Lazaro, J. Villaverde
{"title":"Hand Gesture Recognition for Deaf-Mute using Fuzzy-Neural Network","authors":"Emilio Brando Villagomez, Roxanne Addiezza King, Mark Joshua Ordinario, Jose Lazaro, J. Villaverde","doi":"10.1109/icce-asia46551.2019.8942220","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942220","url":null,"abstract":"Communication is important for every individual to convey whatever information they want to people and viceversa. Hand gesture is one of the important methods of nonverbal communication for human beings. There are plenty of methods that are used to recognize hand gestures with different accuracies and precision, some has advantages and disadvantages. The general objective of this paper is to develop a hand gesture translator gloves with the use of fuzzy-neural network to eliminate the barrier of communication for deaf-mute and non-deaf person. This paper studied the effectiveness of combining fuzzy logic and neural network for hand gesture recognition. The study is successful with the objective of combining Fuzzy Logic algorithm with Neural Networks algorithm to improve the hand gesture recognition rate compared to as an individual. With the earning capability of the Neural Network combined with the simple interpretation and implementation by means of Fuzzy Logic, it unite their advantages and exclude disadvantages like the ability of Fuzzy Logic to interpret input to output that Neural Network is unable to do. The total percent of recognition rate was met with an average of 92.58%.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yu Thazin, Tanthip Eamsa-ard, T. Pobkrut, T. Kerdcharoen
{"title":"Formalin Adulteration Detection in Food Using E-nose based on Nanocomposite Gas Sensors","authors":"Yu Thazin, Tanthip Eamsa-ard, T. Pobkrut, T. Kerdcharoen","doi":"10.1109/icce-asia46551.2019.8941601","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941601","url":null,"abstract":"The aim of this work is to develop an electronic nose (e-nose) system for the detection of toxic formaldehyde as a response to illegal addition of formalin into foods in the markets and food processing industries. In this work, nanocomposites of 0-phenylenediamine (OPD) with different functionalized single-walled carbon nanotubes (f-SWCNTs) were used as gas sensing materials. The gas sensors have been tested to perceive the individual response to different volatile organic compounds (VOCs). Since they showed the highest response to formaldehyde which is the main component in formalin solution, the gas sensor array is appropriate for the detection of food contamination due to formalin. By setting up two conditions, namely non-treatment and formalin treatment to raw chicken, shrimp and tofu, as well as shrimps with different concentrations of formalin treatment, the odor associated with those conditions was investigated by e-nose. Discrimination and analysis of non-treatment (natural) and formalin contaminated samples were analyzed by the principal component analysis (PCA). Our findings support the integration of nanocomposite gas sensors into e-nose as an advantageous tool for food safety applications.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123997378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye
{"title":"An Adaptive Parts Counting Method based on Orthogonal Intensity Distribution Analysis for Industrial Vision Systems","authors":"Qiaochu Zhao, Ittetsu Taniguchi, Makoto Nakamura, T. Onoye","doi":"10.1109/icce-asia46551.2019.8942225","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942225","url":null,"abstract":"In this paper, we proposed a refined counting method of vibratory parts feeders for industrial vision system. Frames of feeding parts are continuously monitored by industrial camera at high speed, therefore efficient and accurate counting method is critical to adopt. Previous research converted two dimensional spatial signal of parts into a time series of one dimensional signal thus achieved efficient counting. In this paper, we further suppressed the counting error in previous research by also taking the variance of feeding speed of each parts into consideration meanwhile conserve its efficiency.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122737133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool
{"title":"Automatic Beam Steering Calibration by Machine Learning Method for Phased Array Radar System","authors":"J. Rajruangrabin, T. Pongthavornkamol, Suradesh Chotchuang, P. Pongpaibool","doi":"10.1109/icce-asia46551.2019.8941592","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8941592","url":null,"abstract":"This paper presents new method of automatic beam steering calibration of phased array radar by using Reinforcement Learning method. The method of Q-Learning is used to find a standard of Digital Phase Shifters which is the main component of beam control. In complicated calibration process, the system measurement by expert user and time consumption are needed. The proposed method can reduce the resource usage.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123629326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Huyen T. T. Tran, Trang H. Hoang, Phu N. Minh, N. P. Ngoc, T. Thang
{"title":"A Perception-based Quality Metric for Omnidirectional Images","authors":"Huyen T. T. Tran, Trang H. Hoang, Phu N. Minh, N. P. Ngoc, T. Thang","doi":"10.1109/icce-asia46551.2019.8942224","DOIUrl":"https://doi.org/10.1109/icce-asia46551.2019.8942224","url":null,"abstract":"A key component in VR systems is omnidirectional content, which provides 360-degree views of scenes. At a given time, only a portion of a content, called viewport, is displayed using head-mounted displays. In this work, we develop an objective quality metric, called Weighted Viewport PSNR (W-VPSNR), for omnidirectional content of spatially-varying quality. Through experiment results, it is found that the W-VPSNR metric well correlates with the subjective quality scores.","PeriodicalId":117814,"journal":{"name":"2019 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115176738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}