DETECTING WALKABLE PLANE AREAS BY USING RGB-D CAMERA AND ACCELEROMETER FOR VISUALLY IMPAIRED PEOPLE

When visually impaired person has to walk out, they have to use white canes, but the range that can be scanned by a white cane is not long enough to walk safely. We propose to detect walkable plane areas on road surface by using the RGB-D camera and the accelerometer in the tablet terminal that is attached to the RGB-D camera. Our approach can detect plane areas in longer distance than a white cane. It is achieved by using height information from the ground and normal vectors of the surface calculated from a depth image obtained by the RGB-D camera in real time.Published in: 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) Date of Conference: 7-9 June 2017 Conference Location: Copenhagen, Denmar

Smoothly Switching Method of Asynchronous Multi-View Videos Using Frame Interpolation

This paper proposes a method that generates viewpoint smooth switching by reducing the flickering artifact observed at bullet-times generated from asynchronous multi-view videos using frame interpolation processing. When we asynchronously capture multi-view videos of an object moving at high velocity, deviations occur in the observed position at the bullet-times. We apply a frame interpolation technique to reduce the problem. By selecting suitable interpolated images that produce the smallest movement of the subject\u27s observed position, we smoothly generate viewpoint switched bullet-time video.Published in: 2017 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) Date of Conference: 7-9 June 2017 Conference Location: Copenhagen, Denmar

Pseudo-Dolly-In Video Generation Combining 3D Modeling and Image Reconstruction

This paper proposes a pseudo-dolly-in video generation method that reproduces motion parallax by applying image reconstruction processing to multi-view videos. Since dolly-in video is taken by moving a camera forward to reproduce motion parallax, we can present a sense of immersion. However, at a sporting event in a large-scale space, moving a camera is difficult. Our research generates dolly-in video from multi-view images captured by fixed cameras. By applying the Image-Based Modeling technique, dolly-in video can be generated. Unfortunately, the video quality is often damaged by the 3D estimation error. On the other hand, Bullet-Time realizes high-quality video observation. However, moving the virtual-viewpoint from the capturing positions is difficult. To solve these problems, we propose a method to generate a pseudo-dolly-in image by installing 3D estimation and image reconstruction techniques into Bullet-Time and show its effectiveness by applying it to multi-view videos captured at an actual soccer stadium. In the experiment, we compared the proposed method with digital zoom images and with the dolly-in video generated from the Image-Based Modeling and Rendering method.Published in: 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct) Date of Conference: 9-13 Oct. 2017 Conference Location: Nantes, Franc

Method to Generate Disaster-Damage Map using 3D photometry and Crowd Sourcing

Thanks to the rapid progress of the Internet and mobile devices, information related to disaster areas can be collected through the Internet. To grasp the degree of damage in a disaster situation, the use of crowdsourcing for coordinating the individual efforts (micro tasks) of an enormous number of users (workers) on the Internet has been drawing attention as a means of quickly solving problems. However, the information gathered from the Internet is huge and diverse, so it is difficult to formulate as a crowdsourcing task. This paper proposes a conversion platform for the images of a disaster site photographed by various users as information about the site, integrating the images into a single map using 3D image processing, and providing the map to crowdsourcing as a micro task.Published in: 2017 IEEE International Conference on Big Data (Big Data) Date of Conference: 11-14 Dec. 2017 Conference Location: Boston, MA, US

Visual Tracking Method of a Quick and Anomalously Moving Badminton Shuttlecock

This paper introduces a method that uses multiple-view videos to estimate the 3D position of a badminton shuttle that moves quickly and anomalously. When an object moves quickly, it is observed with a motion blur effect. By utilizing the information provided by the shape of the motion blur region, we propose a visual tracking method for objects that have an erratic and drastically changing moving speed. When the speed increases tremendously, we propose another method, which applies the shape-from-silhouette technique, to estimate the 3D position of a moving shuttlecock using unsynchronized multiple-view videos. We confirmed the effectiveness of our proposed technique using video sequences and a CG simulation image set

Improvement of Badminton-Player Tracking Applying Image Pixel Compensation

Motion analysis of athletes often provides important information to improve training and strategy meetings. Visual player-tracking techniques are being developed that do not need devices. In this paper, we focus on racket sports, since they suffer from technical issues for visual tracking such as small observation size (low resolution) and large variation of player appearances. Moreover, racket sports video is usually captured by a monocular camera at a set position so that each player is observed at a top and a bottom region of the video across a net on the court. As a result, tracking accuracy is damaged by the net that often occludes players on the far side. As a solution, this paper proposes a method to improve the player-tracking accuracy in badminton video by applying an image pixel compensation technique, such as Image Inpainting. We confirm the effectiveness of our method using videos of badminton singles games

三次元関節モデルを用いた人体の姿勢・動作推定

本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである京都大学0048新制・課程博士博士(工学)甲第8005号工博第1865号新制||工||1155(附属図書館)UT51-99-S295京都大学大学院工学研究科情報工学専攻(主査)教授 池田 克夫, 教授 美濃 導彦, 教授 石田 亨学位規則第4条第1項該当Doctor of EngineeringKyoto UniversityDFA