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Relative Motion Analysis using Rotating Axes

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Related Experiment Video

Updated: May 29, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

CCD Implementation of a Three-Dimensional Video-Tracking Algorithm.

R M Inigo¹, E S McVey

¹School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22901.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This summary is machine-generated.

This study introduces a novel 3D video tracking algorithm using Charge-Coupled Devices (CCDs). The algorithm achieves real-time processing without complex pattern recognition, simplifying target tracking systems.

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A Protocol for Real-time 3D Single Particle Tracking

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Published on: January 3, 2018

Area of Science:

Computer Vision
Image Processing
Robotics

Background:

Traditional 3D tracking algorithms often rely on complex pattern recognition and continuous segmentation updates.
Existing methods can be computationally intensive, limiting real-time applications.

Purpose of the Study:

To develop and implement a simplified 3D video tracking algorithm using Charge-Coupled Devices (CCDs).
To enable real-time processing for tracking specific classes of targets with minimal computational overhead.

Main Methods:

A novel 3D video tracking algorithm utilizing CCDs was implemented.
The algorithm bypasses conventional pattern recognition and continuous segmentation updating.
It requires only that sampling points lie within the target and the background varies slowly.

Main Results:

The algorithm achieves real-time processing capabilities due to the efficient architecture enabled by CCDs.
It simplifies processor architecture and allows for high sampling rates.
The use of on-chip analog multipliers reduces component count and enhances accuracy.

Conclusions:

The presented algorithm offers an efficient and accurate method for 3D video tracking.
Its simplified requirements make it suitable for real-time applications with specific target and background conditions.
The integration of analog multipliers further optimizes performance and component integration.