Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Tetsuro Tatebe

dblp:10/8368 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video processing · 54% Multimedia analysis and retrieval · 46%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Reconfigurable computing and FPGAs · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval
object tracking
0.112011
1000-fps target tracking using vibration-based image features · ICRA 2011
Reconfigurable computing and FPGAs › FPGA-based signal processing
FPGA-based vision system
0.012010
2000 fps real-time vision system with high-frame-rate video recording · ICRA 2010

Methods — techniques the papers use, named apart from their topics

visual feedback control · 0.2FPGA hardware logic · 0.2digital filter · 0.1color extraction · 0.1active vision · 0.1
YearPublicationVenuePosition
2011 1000-fps target tracking using vibration-based image features
abstract
In this paper, we propose a concept for the real time target tracking of vibrating objects to extract vibration image regions using digital filters at all the pixels in an image, assuming that periodic changes in image intensities exist at pixels around vibrating objects. By combining vibration-based processing with color extraction as a masking process, our algorithm can prevent the latency effect on a digital filter, which may degrade its tracking performance. Digital filters at a pixel level are implemented on a 1000-fps vision system that can measure vibration distribution over a wide range of frequencies. On our target tracking system, we can track a vibrating object at the center of the camera view by controlling a 2-DOF (Degree Of Freedom) active vision system with vibration-based image features. We have verified its effectiveness by presenting several experimental results using objects vibrating at high frequencies, which cannot be observed with the naked eye.
Idaku Ishii, Ikuya Ohara, Tetsuro Tatebe, Takeshi Takaki
ICRA3
2010 2000 fps real-time vision system with high-frame-rate video recording
abstract
This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and high frame rate video recording simultaneously. In IDP Express, a dedicated FPGA (Field Programmable Gate Array) board processes 512 × 512 pixel images from two camera heads by implementing image processing algorithms as hardware logic; the input images and processed results are transferred to standard PC memory at a rate of 2000 fps or more. Owing to the simultaneous high-frame-rate video processing and recording, IDP Express can be used as an intelligent video logger for long-term high-speed phenomenon analysis even when the measured objects move quickly in a wide area. We applied IDP Express to a mechanical target tracking system to record a high-frame-rate video at high resolution for a crucial moment, which is magnified by tracking the measured objects with visual feedback control. Several experiments on moving objects that undergo sudden shape deformation were performed. The results of the experiments involving the explosion of a rotating balloon and the crash of falling custard pudding have been provided to verify the effectiveness of IDP Express.
Idaku Ishii, Tetsuro Tatebe, Qingyi Gu, Yuta Moriue, Takeshi Takaki, Kenji Tajima
ICRA2