Presentations -
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暮らしを快適に変える画像処理技術 Invited
Thi Thi Zin
Yumenavi LIVE 2018、学問の講義ライブ (マリンメッセ福岡) FROMPAGE
Event date： 2018.10.20
Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech
Venue：マリンメッセ福岡
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A Study on Abnormal Behavior Detection of Infected Shrimp International conference
Takehiro Morimoto, Thi Thi Zin, Toshiaki Itami
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018) (Nara Royal Hotel, Nara, Japan) IEEE Consumer Electronics Society
Event date： 2018.10.9 - 2018.10.12
Language：English Presentation type：Oral presentation (general)
Venue：Nara Royal Hotel, Nara, Japan
A method of detecting infected shrimp has been developed. Though shrimp production is thriving in Japan, disease causes much damage. Because the cause is a virus infection, medical treatment is not currently possible. The infection route includes factors such as predation by environmental organisms and water-borne infection. However, no specific countermeasures have been developed. Therefore, early detection of infected shrimp is necessary to prevent secondary infection. When shrimp are infected, they exhibit the following abnormal behaviors: 1) not eating, 2) appearing in shallow water, or 3) making sudden movements. The developed method of detecting infected shrimp involves the use of image processing to determine when the shrimp are not eating.
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A Study on Non-contact and Non-invasive Neonatal Jaundice Detection and Bilirubin Value Prediction International conference
Sojiro Kawano, Thi Thi Zin, Yuki Kodama
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018) (Nara Royal Hotel, Nara, Japan) IEEE Consumer Electronics Society
Event date： 2018.10.9 - 2018.10.12
Language：English Presentation type：Oral presentation (general)
Venue：Nara Royal Hotel, Nara, Japan
Neonatal jaundice is a yellowish discoloration of skin and eyes that commonly occurs in newborn babies. It is a physiological phenomenon in neonates and it occurs due to the overproduction of bilirubin, reduction of bilirubin treatment function. The quick and accurate treatment is required for neonatal jaundice because it can lead to nuclear jaundice, cerebral palsy, intellectual disturbance and various sequelae. The investigation methods for examining neonatal jaundice include examination using jaundice meter and blood sampling. However, these methods require continuous monitoring and can cause burden on newborn babies. In this paper, we propose the non-contact and non-invasive detection method for neonatal jaundice using image processing and computer vision technology. The experiments are performed on the data collected by University Hospital, University of Miyazaki. According to the experiments, we confirmed about the usefulness of proposed method which can work effectively for infants.
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An Automatic Estimation of Dairy Cow Body Condition Score Using Analytic Geometric Image Features International conference
Thi Thi Zin, Pyke Tin, I. Kobayashi, Y. Horii
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018) (Nara Royal Hotel, Nara, Japan) IEEE Consumer Electronics Society
Event date： 2018.10.9 - 2018.10.12
Language：English Presentation type：Oral presentation (general)
Venue：Nara Royal Hotel, Nara, Japan
In today modern precision dairy farms, among many dominant factors the Body Condition Score (BCS) has been considered a critical value to optimize milk production, analyzing health problems, insemination timing, and many others. Currently, the BCS is measured by human experts giving time- consuming and varying outcomes from one expert to another so that an automatic estimation system for body condition scoring is needed to be developed. Although there have been some researchers on the topics of the BCS by using image processing techniques, an efficient and satisfactory method has not been found yet. Therefore, in this paper, a new approach to an automatic estimation of dairy cow BCS using analytic geometry image features will be considered. Some experimental results are shown by using the BCS database.
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A Study on Detection and Tracking of Estrous Behaviors for Cattle Using Laser Range Sensor and Video Camera International conference
Tsubasa Mizobuchi, Thi Thi Zin, Ikuo Kobayashi, Hiromitsu Hama
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018) (Nara Royal Hotel, Nara, Japan) IEEE Consumer Electronics Society
Event date： 2018.10.9 - 2018.10.12
Language：English Presentation type：Oral presentation (general)
Venue：Nara Royal Hotel, Nara, Japan
Nowadays, the methodology of cattle production has been transferred from natural mating to artificial insemination. Therefore, estrous detection for cattle is very important to determine the time period that farmers conduct artificial insemination. However, the observation of estrous behavior by human's eyes through the whole day become as a burden task when the number of cattle is large. Therefore, most farmers are missing to notice estrous behavior. In this paper, we proposed the method for automated detection of cattle's estrous behavior, which is mounting and standing, by using laser range sensor and image processing technology. Some experiments are carried out at the Sumiyoshi field, Faculty of Agriculture, University of Miyazaki. Through experimental results, the effectiveness of our proposed method was confirmed.
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Medication and Meal Intake Monitoring using Human-Object Interaction International conference
Pann Thinzar Seint, Thi Thi Zin, Mitsuhiro Yokota
2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018) (Nara Royal Hotel, Nara, Japan) IEEE Consumer Electronics Society
Event date： 2018.10.9 - 2018.10.12
Language：English Presentation type：Oral presentation (general)
Venue：Nara Royal Hotel, Nara, Japan
Needs for end-of-life care are rising because of increasing age-related challenges. Among them, maintenance of nutrition and medication play an important role in healthcare of elderly people. In this situation, caregivers need to receive the daily record as a trending of usage which will lead to improvements in the quality of care. Our objective is to establish a video monitoring system for the act of taking medication and eating activity which is designed by using human-object interaction. For the evaluation of medication intake scenario, we propose the hierarchical classification system using hybrid PRNN-SVM model for action classification and activity interpretation. By the contribution of rulebased learning, our system also recognizes drinking/eating activity.
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最新の画像処理技術と畜産およびセキュリティシステムへの応用 Invited International conference
Thi Thi Zin
The 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018) (シーガイアコンベンションセンター (Miyazaki, Japan)) IEEE SMC Society
Event date： 2018.10.7 - 2018.10.10
Language：Japanese Presentation type：Public lecture, seminar, tutorial, course, or other speech
Venue：シーガイアコンベンションセンター (Miyazaki, Japan)
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暮らしを快適に変える画像処理技術の進歩 Invited
Thi Thi Zin
第２回理系女子支援講座、宮崎県立宮崎北高等学校 (宮崎県立宮崎北高等学校) 宮崎県立宮崎北高等学校
Event date： 2018.9.8
Language：Japanese Presentation type：Oral presentation (invited, special)
Venue：宮崎県立宮崎北高等学校
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Ranking of Influential users based on User-Tweet bipartite graph International conference
Radia EL BACHA, Thi Thi Zin
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI 2018) (Furama RiverFront Hotel, Singapore) IEEE Singapore RFID Chapter and IEEE Singapore ITSS Chapter
Event date： 2018.7.31 - 2018.8.2
Language：English Presentation type：Oral presentation (general)
Venue：Furama RiverFront Hotel, Singapore
Today, even if we are still geographically situated, but real-time news and trends are able to reach us no matter how far we are or how huge is the time difference. This is due to Social Networks Services and the strong involvement of people to them through posting, sharing and interacting online with information. Therefore, we propose a study on patterns of information diffusion on Twitter during global scale events. We also introduce a method for identifying influencers and quantify popularity of Tweets on the Network based on a user-tweet bipartite graph.
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A study on detection of abnormal behavior by a surveillance camera image International conference
Hiroaki Tsushita, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
At present, an enormous amount of accidents and terrorisms has been occurred all over the world not only Japan. Due to the spread of security cameras, the number of occurrences of theft and robbery incidents has been decreasing more and more. Nonetheless, the arrest rate has not improved so much and improvement and rising of the arrest rate are required. The objective of this paper is detection of snatching that involves an event between two persons, and we made an effort to detect snatching in various kinds of situations by using some video scenarios. This video scenarios include the scene of snatching with a bicycle and the scene of non-snatching with normal pedestrian passing. Our proposed methods consist of several steps: background subtraction, pedestrian tracking, feature extraction, and snatch theft detection. We focused on the feature extraction process in details and used weighted decision fusion system based on these parameter, area feature, motion feature, and appearance feature in the paper [1]. We attempted to detect the snatching event from diverse features.
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A study on detection of suspicious persons for intelligent monitoring system International conference
Tatsuya Ishikawa, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
Currently, surveillance cameras are proliferating for prevention of crimes worldwide and early detection of emergency situations, and they play a very important role in the field of crime prevention and verification against various crimes. With regard to crime recognition and crime arrest, the number of surveillance cameras has been on the rise since it became widespread, and this has also led to crime prevention. However, in most cases, it will be coped after the occurrence of crime, and as for ongoing surveillance for 24 h, the burden on the surveillance side is heavy and there are cases where suspicious people are overlooked. In this paper, by focusing on the action of “Loitering” performed by a criminal using various characteristics of a person, it is possible to automatically determine whether the target person is a “Normal Pedestrian” or “Suspicious Pedestrian”. We will develop algorithms to make it recognizable and confirm the usefulness in terms of crime prevention and crime verification. It is also expected that establishing detection technology will contribute to crime reduction as a deterrent against crime.
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A study on music retrieval system using image processing International conference
Emi Takaoka, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
The music retrieval system has made it possible to easily search music by simply listening to songs on machine with the spread of smartphone applications. However, it requires enormous data by voice information existing system. Therefore, we proposed new music retrieval system using images visualized by sound signal processing. In the experiment, we used 35 songs and made data for retrieval by extracting a part from them and using only melody information. As a result, the percentage of correct answers that appeared in the top 3 places was 89%, which proved that the proposed method is useful.
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A study on violence behavior detection system between two persons International conference
Atsuki Kawano, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
Lately, surveillance cameras have been widely used for security concerns to monitor human behavior analysis by using image processing technologies. In order to take into accounts for human rights, costs effectiveness, accuracy of performance the systems so that an automatic—human behavior analytic system shall be developed. –In particular, this paper focused on the action of two person violence and detecting two person fighting each other will be considered. Some experimental results are presented to confirm the proposed method by using ICPR 2010 Contest on Semantic Description of Human Activities (SDHA 2010) dataset.
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A survey on influence and information diffusion in twitter using big data analytics International conference
Radia El Bacha, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
By now, even if we are still geographically situated, we’re able to reach, connect and know about each other through social networks like never before. Among all popular Social Networks, Twitter is considered as the most open social media platform used by celebrities, politicians, journalists and recently attracted a lot of attention among researcher mainly because of its unique potential to reach this large number of diverse people and for its interesting fast-moving timeline where lots of latent information can be mined such as finding influencers or understanding influence diffusion process. This studies have a significant value to various applications, e.g., understanding customer behavior, predicting flu trends, event detection and more. The purpose of this paper is to investigate the most recent research methods related to this topic and to compare them to each other. Finally, we hope that this summarized literature gives directions to other researchers for future studies on this topic.
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A study on estrus detection of cattle combining video image and sensor information International conference
Tetsuya Hirata, Thi Thi Zin, Ikuo Kobayashi, Hiromitsu Hama
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
In Japan, the detection rate of estrus behavior of cattle has declined from 70% to 55% in about 20 years. Causes include the burden of the monitoring system due to the aging of livestock farmers and oversight of detection of estrus behavior by multiple rearing. Because the time period during which estrus behavior appears conspicuously is nearly the same at day and night, it is necessary to monitor on a 24-h system. In the method proposed in this paper, region extraction of black cattle is performed by combining frame difference and MHI (Motion History Image), then feature detection of count formula is performed using the characteristic and features of the riding behaviors. In addition, as a consideration of the model experiment, a method of detecting the riding behavior by combining the vanishing point of the camera and the height from the foot of the cattle was proposed. The effectiveness of both methods were confirmed through experimental results.
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Behavior Analysis for Nursing Home Monitoring System International conference
Pann Thinzar Seint, Thi Thi Zin
1st International Conference on Big Data Analysis and Deep Learning (ICBDL 2018) (Phoenix Seagaia Resort, Miyazaki, Japan ) University of Miyazaki, Springer Verlag
Event date： 2018.5.14 - 2018.5.15
Language：English Presentation type：Oral presentation (general)
Venue：Phoenix Seagaia Resort, Miyazaki, Japan
In this paper, we describe the nursing home monitoring system based on computer vision. This system is aimed for an effective and automatic take care of aged persons to monitor appropriate medication intake. Skin region detection for mouth and hand tracking and color label detection for water and medication bottles tracking are mainly performed for initialization. To differentiate the hand and face region, we use the regional properties of head with online learning. Tracking is done by the minimum Eigen values detection. The overlapping area ratios of desired object to body parts are simply used as feature vectors and Pattern Recognition Neural Network is proposed for the decision of simplest action. This paper presents the 7 types of simple actions recognition for medication intake and our experimental results give the promising results.
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A Study on Disease Diagnosis by Tremor Analysis International conference
Yuichi Mitsui, Nobuyuki Ishii, Hitoshi Mochizuki, Thi Thi Zin
The 26th International MultiConference of Engineers and Computer Scientists (IMECS 2018) (Hong Kong) The International Association of Engineers (IAENG)
Event date： 2018.3.14 - 2018.3.16
Language：English Presentation type：Oral presentation (general)
Venue：Hong Kong
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Markov Chain Techniques for Cow Behavior Analysis in Video-based Monitoring System International conference
Thi Thi Zin, Pyke Tin, Ikuo Kobayashi, Hiromitsu Hama
The 26th International MultiConference of Engineers and Computer Scientists (IMECS 2018) (Hong Kong) The International Association of Engineers (IAENG)
Event date： 2018.3.14 - 2018.3.16
Language：English Presentation type：Oral presentation (general)
Venue：Hong Kong
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Image Technology based Cow Identification System Using Deep Learning International conference
Thi Thi Zin, Cho Nilar Phyo, Pyke Tin, and Hiromitsu Hama, Ikuo Kobayashi
The 26th International MultiConference of Engineers and Computer Scientists (IMECS 2018) (Hong Kong) The International Association of Engineers (IAENG)
Event date： 2018.3.14 - 2018.3.16
Language：English Presentation type：Oral presentation (general)
Venue：Hong Kong
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Interdisciplinary Perspectives for Life-Nature and Society Development Invited International conference
Thi Thi Zin
International Symposium on the Development of Life- Unfolding with interdisciplinary views @ University of Miyazaki (University of Miyazaki) University of Miyazaki
Event date： 2017.12.11
Language：English Presentation type：Oral presentation (invited, special)
Venue：University of Miyazaki