scholarly journals FPGA-Based Design for Motion Vector Estimation Exploiting High-Speed Imaging and Its Application to Motion Classification with Neural Networks

2014 ◽  
Vol 18 (4) ◽  
pp. 165-168 ◽  
Author(s):  
Masafumi Mori ◽  
Toshiyuki Itou ◽  
Masayuki Ikebe ◽  
Tetsuya Asai ◽  
Tadahiro Kuroda ◽  
...  
Keyword(s):  
Neural Networks ◽  
High Speed ◽  
Motion Vector ◽  
High Speed Imaging ◽  
Motion Classification ◽  
Vector Estimation

A CMOS Image Sensor with Non-Destructive High-Speed Imaging Mode and Its Applications

2000 ◽  
Vol 12 (5) ◽  
pp. 502-507
Author(s):  
Dwi Handoko ◽  
◽  
Shoji Kawahito ◽  
Minoru Kumahara ◽  
Nobuhiro Kawai ◽  
...  
Keyword(s):  
Video Compression ◽  
High Speed ◽  
Motion Vector ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Moving Object ◽  
High Speed Imaging ◽  
Imaging Mode ◽  
Vector Estimation ◽  
Non Destructive

This paper describes a CMOS image sensor with non-destructive high-speed imaging mode. The proposed sensor reads out high-speed intermediate images without destroying accumulated signal charge and captures video-rate (30 frame/s) images with high SNR. The application of the sensor to a low power motion vector estimation for video compression and high-fidelity imaging of moving object with tracking are also presented. Motion vector estimation using the proposed sensor is possible to reduce computational power by a factor of 1/10 compared to the full search algorithm. The simulation results show that the proposed image sensor with nondestructive high-speed imaging mode is useful for moving object imaging with less shape distortion.

Experimental Measurement of In-Plane Rolling Nonpneumatic Tire Vibrations Using High-Speed Imaging

2019 ◽  
Vol 47 (3) ◽  
pp. 196-210
Author(s):  
Meghashyam Panyam ◽  
Beshah Ayalew ◽  
Timothy Rhyne ◽  
Steve Cron ◽  
John Adcox
Keyword(s):  
High Speed ◽  
Image Correlation ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
High Speed Imaging ◽  
Correlation Algorithm ◽  
Mode Decomposition ◽  
Series Of Experiments ◽  
Plane Deformations ◽  
Dominant Frequencies

ABSTRACT This article presents a novel experimental technique for measuring in-plane deformations and vibration modes of a rotating nonpneumatic tire subjected to obstacle impacts. The tire was mounted on a modified quarter-car test rig, which was built around one of the drums of a 500-horse power chassis dynamometer at Clemson University's International Center for Automotive Research. A series of experiments were conducted using a high-speed camera to capture the event of the rotating tire coming into contact with a cleat attached to the surface of the drum. The resulting video was processed using a two-dimensional digital image correlation algorithm to obtain in-plane radial and tangential deformation fields of the tire. The dynamic mode decomposition algorithm was implemented on the deformation fields to extract the dominant frequencies that were excited in the tire upon contact with the cleat. It was observed that the deformations and the modal frequencies estimated using this method were within a reasonable range of expected values. In general, the results indicate that the method used in this study can be a useful tool in measuring in-plane deformations of rolling tires without the need for additional sensors and wiring.

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