PROCEEDINGS OF THE ITE ANNUAL CONVENTION

Online ISSN : 2424-2292
Print ISSN : 1343-1846
ISSN-L : 1343-1846

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2017

Displaying 151-160 of 160 articles from this issue

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Development of an 8K 120 Hz single-chip camera system using 2:1 inter-line scanning

Tomohiro NAKAMURA, Takahiro YAMASAKI, Ryohei FUNATSU, Hiroshi SHIMAMOT ...

Pages 33A-5-
Published: 2017
Released on J-STAGE: May 27, 2021

DOIhttps://doi.org/10.11485/iteac.2017.0_33A-5

CONFERENCE PROCEEDINGS FREE ACCESS

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NHK is accelerating development of ‘full-featured’ 8K broadcasting equipment. We have developed an 8K 120 Hz single-chip camera system by adopting 2:1 inter-line scanning. We performed an image capturing experiment, and confirmed that the resolution in the still area is the same as that in 60 Hz scanning. The signal-to-noise ratio of 120 Hz inter-line videos was improved by adaptive noise reduction technique.

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[title in Japanese]

Pages 33B-0-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-0

CONFERENCE PROCEEDINGS FREE ACCESS

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Camera Pose Estimation Aiming for Basketball Analysis Based on Straight Line Detection and Its Correspondence Between Frames

Kouya YASUDA, Norio TAGAWA, Yihsin HO, Syuji Otsubo

Pages 33B-1-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-1

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In basketball video 3D analysis, it is an important issue to estimate camera pose and line detection. In this study, we focus on a dedicated court wish few lines and estimate a camera posture determination based on straight line detection and its correspondence between frames.

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Estimating object size from a single image using estimated depth and geometric constraints

Naoto YANASE, Kazuhiko MURASAKI, Yutaka SHIMADA, Yukinobu TANIGUCHI

Pages 33B-2-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-2

CONFERENCE PROCEEDINGS FREE ACCESS

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In this paper, we propose a method for estimating the size of an object from a single image taken with a monocular camera. We realize it by using a convolution neural network (CNN) for depth estimation and information of a plane and a reference object standing upright on the plane.

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A Localization Method based on Similarity Search using 3D Point Cloud

Kohei MATSUZAKI, Hiromasa YANAGIHARA

Pages 33B-3-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-3

CONFERENCE PROCEEDINGS FREE ACCESS

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In this paper, we propose a novel localization method for autonomous driving cars and mobile robots using 3D point cloud. Our method is based on similarity search between environment map data and pose-transformed scan data. Our method improved mean accuracy by 8.35 times or more compared with conventional methods.

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Object Segmentation and Classification of Point Cloud

Kanokphan LERTNIPHONPHAN, Satoshi KOMORITA, Kazuyuki TASAKA, Hiromasa ...

Pages 33B-4-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-4

CONFERENCE PROCEEDINGS FREE ACCESS

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Object segmentation and Classification from Point cloud LiDAR are challenging due to its sparseness and lacking of detailed information. In this work, data association between point cloud and RGB image is used to automatically segment objects, which consist of car, cyclist, and pedestrian, for effective making point cloud dataset.

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Basic Study on Distance Measurement from Stereo Omni-image Cameras

Takahiro AOKI, Takuya MATSUDA, Junichi HARA, Hiroshi Watanabe

Pages 33B-5-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33B-5

CONFERENCE PROCEEDINGS FREE ACCESS

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Derivation of equation aimed for distance measurement using omni-directional camera is studied. By using ideal images created by computers graphics correctness of the proposed equation is confirmed.

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[title in Japanese]

Pages 33D-0-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33D-0

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Study on Automated Audio Description System for Accessibility Broadcasting Services in a Sports TV Program

Mnon Ichiki, Toshihiro Shimizu, Atsushi Imai, Tohru Takagi, Kiyoshi Ku ...

Pages 33D-2-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33D-2

CONFERENCE PROCEEDINGS FREE ACCESS

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We conducted experiments on the effectiveness of an automated audio description system for visually impaired people and evaluated the degree of understanding of a game compared with live TV and radio commentary. The results showed that the automated audio descriptions and live radio commentary had almost the same mean opinion score.

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Analysis on Speech Synthesis Quality for Distributing Emergency Disaster Information to Elderly

Yusuke MIWATA, Nobuyuki NISHIZAWA, Yasuhiro TAKISHIMA, Yasuyuki NAGAO

Pages 33D-3-
Published: 2017
Released on J-STAGE: November 04, 2023

DOIhttps://doi.org/10.11485/iteac.2017.0_33D-3

CONFERENCE PROCEEDINGS FREE ACCESS

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Speech synthesis is expected to be utilized for distribution of emergency disaster information via Set-Top Box. Speech synthesis technology supports distributing information in visual and audio for elderly. Here we report analysis on the results of speech synthesis quality for elderly.

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