Real-time optical image stabilization using high frame rate video sequence at 500 fps

2015 ◽  
Author(s):  
Sushil Raut ◽  
Qingyi Gu ◽  
Tadayoshi Aoyama ◽  
Takeshi Takaki ◽  
Idaku Ishii
Keyword(s):  
Real Time ◽  
Video Sequence ◽  
Optical Image ◽  
Frame Rate ◽  
Image Stabilization ◽  
High Frame Rate

Real-Time Image Mosaicing System Using a High-Frame-Rate Video Sequence

2015 ◽  
Vol 27 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Qingyi Gu ◽  
◽  
Sushil Raut ◽  
Ken-ichi Okumura ◽  
Tadayoshi Aoyama ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Video Sequence ◽  
Frame Rate ◽  
Image Mosaicing ◽  
Current Frame ◽  
High Frame Rate ◽  
Harris Corner ◽  
Real Time Image ◽  
Time Image

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270001/02.jpg"" width=""300"" />Synthesized panoramic images</div> In this paper, we propose a real-time image mosaicing system that uses a high-frame-rate video sequence. Our proposed system can mosaic 512 × 512 color images captured at 500 fps as a single synthesized panoramic image in real time by stitching the images based on their estimated frame-to-frame changes in displacement and orientation. In the system, feature point extraction is accelerated by implementing a parallel processing circuit module for Harris corner detection, and hundreds of selected feature points in the current frame can be simultaneously corresponded with those in their neighbor ranges in the previous frame, assuming that frame-to-frame image displacement becomes smaller in high-speed vision. The efficacy of our system for improved feature-based real-time image mosaicing at 500 fps was verified by implementing it on a field-programmable gate array (FPGA)-based high-speed vision platform and conducting several experiments: (1) capturing an indoor scene using a camera mounted on a fast-moving two-degrees-of-freedom active vision, (2) capturing an outdoor scene using a hand-held camera that was rapidly moved in a periodic fashion by hand. </span>

An Ultra-High Frame Rate Ion Imaging Platform Using ISFET Arrays With Real-Time Compression

2021 ◽  
Vol 15 (4) ◽  
pp. 820-833
Author(s):  
Junming Zeng ◽  
Lei Kuang ◽  
Miguel Cacho-Soblechero ◽  
Pantelis Georgiou
Keyword(s):  
Real Time ◽  
Frame Rate ◽  
Ion Imaging ◽  
High Frame Rate ◽  
Time Compression

Real-Time Projection Mapping Using High-Frame-Rate Structured Light 3D Vision

2015 ◽  
Vol 8 (4) ◽  
pp. 265-272 ◽  
Author(s):  
Jun CHEN ◽  
Takashi YAMAMOTO ◽  
Tadayoshi AOYAMA ◽  
Takeshi TAKAKI ◽  
Idaku ISHII
Keyword(s):  
Real Time ◽  
Structured Light ◽  
Frame Rate ◽  
3D Vision ◽  
Projection Mapping ◽  
High Frame Rate ◽  
Time Projection

scholarly journals HFR Projector Camera Based Visible Light Communication System for Real-Time Video Streaming

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5368
Author(s):  
Atul Sharma ◽  
Sushil Raut ◽  
Kohei Shimasaki ◽  
Taku Senoo ◽  
Idaku Ishii
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Video Streaming ◽  
Video Sequence ◽  
Vision System ◽  
Visible Light Communication ◽  
Gray Code ◽  
Frame Rate ◽  
Video Sequences ◽  
Color Video

This study develops a projector–camera-based visible light communication (VLC) system for real-time broadband video streaming, in which a high frame rate (HFR) projector can encode and project a color input video sequence into binary image patterns modulated at thousands of frames per second and an HFR vision system can capture and decode these binary patterns into the input color video sequence with real-time video processing. For maximum utilization of the high-throughput transmission ability of the HFR projector, we introduce a projector–camera VLC protocol, wherein a multi-level color video sequence is binary-modulated with a gray code for encoding and decoding instead of pure-code-based binary modulation. Gray code encoding is introduced to address the ambiguity with mismatched pixel alignments along the gradients between the projector and vision system. Our proposed VLC system consists of an HFR projector, which can project 590 × 1060 binary images at 1041 fps via HDMI streaming and a monochrome HFR camera system, which can capture and process 12-bit 512 × 512 images in real time at 3125 fps; it can simultaneously decode and reconstruct 24-bit RGB video sequences at 31 fps, including an error correction process. The effectiveness of the proposed VLC system was verified via several experiments by streaming offline and live video sequences.

High frame rate, wide-angle Tissue Doppler Imaging in real-time

2017 ◽  
Author(s):  
Alessandro Ramalli ◽  
Francesco Guidi ◽  
Alessandro Dallai ◽  
Enrico Boni ◽  
Ling Tong ◽  
...  
Keyword(s):  
Real Time ◽  
Tissue Doppler Imaging ◽  
Tissue Doppler ◽  
Frame Rate ◽  
Doppler Imaging ◽  
Wide Angle ◽  
High Frame Rate

P3I-3 A Real-Time High Frame Rate High Frequency Ultrasonic System for Cardiac Imaging in Small Animals

2006 ◽  
Author(s):  
J. T. Yen ◽  
K. K. Shung ◽  
L. Sun ◽  
C. Feng ◽  
J. M. Cannata ◽  
...  
Keyword(s):  
Real Time ◽  
Cardiac Imaging ◽  
High Frequency ◽  
Frame Rate ◽  
Small Animals ◽  
High Frame Rate

An Intelligent High-Frame-Rate Video Logging System for Abnormal Behavior Analysis

2011 ◽  
Vol 23 (1) ◽  
pp. 53-65 ◽  
Author(s):  
Yao-DongWang ◽  
◽  
Idaku Ishii ◽  
Takeshi Takaki ◽  
Kenji Tajima ◽  
...  
Keyword(s):  
Real Time ◽  
Video Processing ◽  
High Speed ◽  
Vision System ◽  
Video Recording ◽  
Frame Rate ◽  
Abnormal Behavior ◽  
High Frame Rate ◽  
Abnormal Behavior Detection ◽  
Abnormal Behaviors

This paper introduces a high-speed vision system called IDP Express, which can execute real-time image processing and High-Frame-Rate (HFR) video recording simultaneously. In IDP Express, 512×512 pixel images from two camera heads and the processed results on a dedicated FPGA (Field Programmable Gate Array) board are transferred to standard PC memory at a rate of 1000 fps or more. Owing to the simultaneous HFR video processing and recording, IDP Express can be used as an intelligent video logging system for long-term high-speed phenomenon analysis. In this paper, a real-time abnormal behavior detection algorithm was implemented on IDP-Express to capture HFR videos of crucial moments of unpredictable abnormal behaviors in high-speed periodic motions. Several experiments were performed for a high-speed slider machine with repetitive operation at a frequency of 15 Hz and videos of the abnormal behaviors were automatically recorded to verify the effectiveness of our intelligent HFR video logging system.

High frame-rate real-time x-ray imaging of in situ high-velocity rifle bullets

2016 ◽  
Author(s):  
Lawrence J. D'Aries ◽  
Stuart R. Miller ◽  
Rob Robertson ◽  
Bipin Singh ◽  
Vivek V. Nagarkar
Keyword(s):  
Real Time ◽  
High Velocity ◽  
Frame Rate ◽  
X Ray ◽  
High Frame Rate ◽  
X Ray Imaging ◽  
Rifle Bullets
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