{"title":"Robust Object Tracking against Self-occlusion Using Color and Depth Information","authors":"Jun-ichi Imai, Yuhei Kashiwagi, Ryo Kitsuji","doi":"10.9746/SICETR.55.342","DOIUrl":"https://doi.org/10.9746/SICETR.55.342","url":null,"abstract":"Visual object tracking techniques are widely required by many vision applications. The color-based particle filter is known as one of useful methods for robust object tracking. However, the conventional color-based particle filter has a problem that it is not robust against self-occlusion. Self-occlusion occurs when a part of a target object is hidden by itself from a camera. When the target object moves or rotates, a part of the target disappears because the self-occlusion occurs and other part appears because the self-occlusion is resolved. The conventional color-based particle filter often fails to follow such a change of the target’s appearance due to self-occlusion during the tracking process. In this paper, we propose a novel method for robust object tracking against the self-occlusion. The proposed method is based on the color-based particle filter, and it also uses depth information obtained by an RGB-D camera. When the self-occlusion occurs and the target’s appearance changes, the proposed method extracts a region for the target object in the input image by the graph cuts based on depth information. However, this process often includes unnecessary regions, especially when some objects are close to the target. Then, the proposed method distinguishes the region for the target from unnecessary ones by inves-tigating expanse of colors around the target. Therefore, the target model is correctly updated and the robust tracking is achieved. In order to verify the effectiveness of the proposed method, we carried out an experiment to compare the proposed method with the conventional one. Experimental results show that the proposed method works well.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127582673","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":"A Consideration on Effect of Music Stimulus to Reaction Time Driving in Single Road","authors":"H. Takanashi","doi":"10.9746/sicetr.58.530","DOIUrl":"https://doi.org/10.9746/sicetr.58.530","url":null,"abstract":"","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073248","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":"Analysis and Design of MCV Observer Based on Robust Invariant Set for Overcoming Observed Outputs with Outliers and Noises","authors":"Hiroshi Okajima","doi":"10.9746/sicetr.55.823","DOIUrl":"https://doi.org/10.9746/sicetr.55.823","url":null,"abstract":"This paper dealt with a design method of MCV observer using robust invariant set analysis method. In our previous research, a design method of state observer for output signal with outliers was proposed. In some control systems, adverse effect by outliers is one of the most important topics for solving. To overcome the adverse effect by outliers, we proposed a method to disappear the effect of outliers using median and candidates of estimated state. In this paper, we give an evaluation signal, and analyze the maximum absolute value of the evaluation signal using a robust invariant set. We propose the design method of observer gains to minify the maximum absolute value of the evaluation signal based on LMIs with some variables. It is easy to design the observer gains by our method. The effectiveness of the proposed design method of observer gains is evaluated by numerical simulation.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083256","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":"Design of a Multi-rate State Feedback Gains for Disturbance Rejection in Multi-rate Systems with Long Input Periods","authors":"Hiroshi Okajima","doi":"10.9746/sicetr.58.451","DOIUrl":"https://doi.org/10.9746/sicetr.58.451","url":null,"abstract":"","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126836294","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":"3D Measurement Based on Row-wise LT Matrix Estimation","authors":"Naoya Chiba, K. Hashimoto","doi":"10.9746/SICETR.55.294","DOIUrl":"https://doi.org/10.9746/SICETR.55.294","url":null,"abstract":"3D Measurement is an essential element of robotics for industrial usage. Many methods have been proposed so far, but some objects with specular reflections or subsurface scatterings are difficult to measure the shape accurately. We have developed a new method by using projector-camera Light Transport (LT) Matrix. LT Matrix is often used in computer graphics to make relighting images, light path understanding, and 3D measurement. It is useful for describing light paths on projector-camera system because it includes all light reflection information. However, it takes a long time to measure LT Matrix accurately. This paper first proposes how to obtain 3D shape from LT Matrix. Then we propose fast LT Matrix estimation method by using its sparseness. Our method can estimate accurate LT Matrix to obtain 3D shape in short time. Finally, we compare our results and previous 3D measurement methods, and we conclude our methods performs much better than other methods for metallic or transparent objects.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126548733","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}
Shintaro Fujita, K. Sawada, Seiichi Shin, S. Hosokawa
{"title":"On Auto-generation Method of Whitelist for PLC Operation Sequence","authors":"Shintaro Fujita, K. Sawada, Seiichi Shin, S. Hosokawa","doi":"10.9746/sicetr.57.367","DOIUrl":"https://doi.org/10.9746/sicetr.57.367","url":null,"abstract":"","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124156579","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":"Driving Posture Classification with Time-of-flight Sensor Arrays and Machine Learning","authors":"Eito Yamaga, Nao Asano, Yuta Sugiura, M. Sugimoto","doi":"10.9746/sicetr.55.772","DOIUrl":"https://doi.org/10.9746/sicetr.55.772","url":null,"abstract":"In this paper, we propose a method to classify the posture of a driver in a vehicle using time-of-flight (ToF) range sensors and machine learning. Conventionally, to estimate the posture of a driver, there are methods using RGB or depth cameras around the driving seat. However, previous estimation methods needed to handle large data from the cameras, and privacy can be an issue in such a camera based system. In this study, we propose a range sensor based driving posture classification method. We design a sensing system which consists of range sensing modules around the driving seat inside a vehicle, and the system identifies the posture of the driver by distributions of the sensor values. We installed the system into a vehicle and verified the feasibility of the proposed method.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122471456","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}
Shutaro Kunimasa, Kyoich Seo, H. Shimoda, H. Ishii
{"title":"An Estimation Method of Intellectual Work Performance by Using Physiological Indices","authors":"Shutaro Kunimasa, Kyoich Seo, H. Shimoda, H. Ishii","doi":"10.9746/SICETR.55.260","DOIUrl":"https://doi.org/10.9746/SICETR.55.260","url":null,"abstract":"6th Annual International Conference on Cognitive and Behavioral Psychology (CBP2017): Mar 6, 2017- Mar 7, 2017, Singapore.","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121713534","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}
Fumihiro Honda, Shoji Shimizu, H. Kagaya, Tetsuya Kubota
{"title":"ドロネー単体分割を利用した位置決め誤差補正手法と大型成形機への適用","authors":"Fumihiro Honda, Shoji Shimizu, H. Kagaya, Tetsuya Kubota","doi":"10.9746/sicetr.59.259","DOIUrl":"https://doi.org/10.9746/sicetr.59.259","url":null,"abstract":"","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125106440","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":"Resilience Enhancement of Lunar Landing Trajectory Control Using Reinforcement Learning","authors":"S. Ueda, Takahiro Ito, S. Sakai","doi":"10.9746/sicetr.58.194","DOIUrl":"https://doi.org/10.9746/sicetr.58.194","url":null,"abstract":"","PeriodicalId":416828,"journal":{"name":"Transactions of the Society of Instrument and Control Engineers","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122061917","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}