3D Localization of Moving Object by High-Speed Four-Camera Vision System

AbstractThe trans-Golgi network (TGN) has been known as a key platform to sort and transport proteins to their final destinations in post-Golgi membrane trafficking. However, how the TGN sorts proteins with different destinies still remains elusive. Here, we examined 3D localization and 4D dynamics of TGN-localized proteins of Arabidopsis thaliana that are involved in either secretory or vacuolar trafficking from the TGN, by a multicolor high-speed and high-resolution spinning-disk confocal microscopy approach that we developed. We demonstrate that TGN-localized proteins exhibit spatially and temporally distinct distribution. VAMP721 (R-SNARE), AP (adaptor protein complex)−1, and clathrin which are involved in secretory trafficking compose an exclusive subregion, whereas VAMP727 (R-SNARE) and AP-4 involved in vacuolar trafficking compose another subregion on the same TGN. Based on these findings, we propose that the single TGN has at least two subregions, or “zones”, responsible for distinct cargo sorting: the secretory-trafficking zone and the vacuolar-trafficking zone.

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Real-time 3D shape recognition of high speed moving object by fixation point tracking with active camera

Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113) ◽

10.1109/iros.2000.894669 ◽

2002 ◽

Author(s):

K. Deguchi ◽

K. Yonaiyama

Keyword(s):

Real Time ◽

High Speed ◽

Shape Recognition ◽

Moving Object ◽

3D Shape ◽

Point Tracking ◽

Active Camera

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Based on the CO2 Gas Shielded Welding Molten Pool Image Edge Detection Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.437.840 ◽

2013 ◽

Vol 437 ◽

pp. 840-844 ◽

Cited By ~ 1

Author(s):

Xiao Gang Liu ◽

Bing Zhao

Keyword(s):

Edge Detection ◽

Molten Pool ◽

High Speed ◽

Vision System ◽

Detection Algorithm ◽

Pass Filter ◽

Low Pass Filter ◽

Low Pass ◽

Defect Recognition ◽

Pool Image

This paper use the passive vision system through high-speed camera collects molten pool images; and then according to the frequency domain characteristics of the weld pool image Butterworth low-pass filter; gradient method for image enhancement obtained after pretreatment. Research Roberts, Sobel, Prewitt, Log, Zerocross, and Canny 6 both traditional differential operator edge detection processing results. Through comparison and analysis of choosing threshold for [0.1, 0. Canny operator can get the ideal molten pool edge character, for subsequent welding molten pool defect recognition provides favorable conditions.

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High Speed Vision System Using Massively Parallel Processing

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.1992.587364 ◽

2005 ◽

Cited By ~ 34

Author(s):

M. Ishikawa ◽

A. Morita ◽

N. Takayanagi

Keyword(s):

Parallel Processing ◽

High Speed ◽

Vision System ◽

Massively Parallel ◽

Massively Parallel Processing

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Development of a high-resolution, high-speed vision system using CMOS image sensor technology enhanced by intelligent pixel selection technique

10.1117/12.572719 ◽

2004 ◽

Cited By ~ 9

Author(s):

Kenji Tajima ◽

Akihiko Numata ◽

Idaku Ishii

Keyword(s):

High Resolution ◽

High Speed ◽

Vision System ◽

Cmos Image Sensor ◽

Image Sensor ◽

Sensor Technology ◽

Selection Technique

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Built-in-self-test system for FPGA-based vehicle video-detection and distance measurement

10.32920/ryerson.14653995 ◽

2021 ◽

Author(s):

Md Forhad Ebn Anwar

Keyword(s):

High Speed ◽

Vision System ◽

Test System ◽

Distance Measurement ◽

Assistance System ◽

Project Work ◽

Practical Calculation ◽

Automatic Driving ◽

Driving Assistance ◽

Driving Assistance System

Collision of vehicles in highways are very frequent. Because of high speed (more than 100 km/hour), the momentum of collision is too high that leads sever casualty. Automatic Driving Assistance system can assist the vehicle operators to take decision based on realistic practical calculation on safety measures. It is always better to have third eye working parallel with human to avoid road accident. There are several technologies used to develop perfect driving assistance system to achieve higher accuracy in detection, identification and distance measurement of obstacles where vision based system is one of them. Mono-vision system provides cheap and fast solution rather stereo vision. This project work conducted with objective to comprehend computational complexity in implementation of mono-vison camera based object detection where system will generate warning if the detected object has a motion towards target. Processing and analyzing of captured video image is the focused mechanism of implementation and used internal image generator module to mimic actual video camera. Appeared size of the shape of object considered for the decision making. The simulated image pattern can change it’s dimension to represent vehicle movement in one direction (Back and forth). In this work the on-chip car image generation sub-system was proposed designed and partially implemented on the base of the FPGA where Xilinx Zynq-7010 (ZYNQ XC7Z010-1CLG400C) FPGA development board used. Keyword: Computer Vision, mono vision, image processing on FPGA, Automatic Driving Assistance, Vehicle Detection.

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High Precision Machine Vision System for Outer Diameter Inspection Bearing

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.552.313 ◽

2013 ◽

Vol 552 ◽

pp. 313-318

Author(s):

Yuan Gao ◽

Guo Yu Zhang

Keyword(s):

Machine Vision ◽

Optical System ◽

High Speed ◽

Measurement Accuracy ◽

Polynomial Interpolation ◽

Vision System ◽

Outer Diameter ◽

Machine Vision System ◽

Diameter Measurement ◽

Ccd Image

A machine vision system for bearing outer diameter inspection has been developed in this paper. The infinite objective of optical system is applied to diameter measurement system. The paper provides a method for measuring the size of objects based on polynomial interpolation. The technology of CCD image stagger is applied in the paper. The method can avoid space between pixels astriction theoretically, so higher measurement accuracy is gained. The experiment results show that the system has many advantages such as non- touch , high speed and higher precision.

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