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Projects : CUREE-Kajima Joint Research Program
PHASE V RESEARCH REPORT

CKV-02: Vision-Based Motion Tracking for Risk Assessment During Seismic Events

Tara C. Hutchinson, Falko Kuester, Kai-Uwe Doerr, and David Lim (UC Irvine)

Katsuhisa Kanda, Narito Kurato, Hachiro Ukon, Makoto Oshio, and Aikido Kondo (Kajima Corp.)

Previous experiences during earthquake events emphasize the need for new technologies for real-time monitoring and assessment of facilities with high value nonstructural elements such as equipment or other contents. Moreover, there is substantial limitation in our ability to rapidly evaluation and identify potential hazard zones within a structure, exposing rescue workers, society and the environment to unnecessary risks. A real-time monitoring system, integrated with critical warning systems, would allow for improved channelling of resources. The optimal system would allow for non-intrusive, high-speed data, which is rapidly collected via a fast network and analyzed in a central repository for building owners and rescue workers to make informed decisions.

In recognition of these issues, the primary objective of this project is to summarize investigative work on the development, testing, and evaluation of vision-based motion tracking systems for use in monitoring and assessing seismic risk. Two fundamentally different types of vision-based systems are considered: (i) digital red light-based cameras and (ii) digital fully image-based cameras. Shake table experiments are used to test and evaluate the software and hardware infrastructure needed for such a system.

This report is subdivided into chapters detailing the results from investigation of (i) background and literature related to motion tracking using camera hardware and image processing algorithms, (ii) implementation and results of light-based systems and (iii) implementation and results of image-based systems.

This report is organized into the following chapters:

(i) introduction and motivation

(ii) related work and motivation,

(iii) light-based system: overview and validation,

(iv) image-based system: hardware and software design,

(v) image-based system: processing and data analysis and

(vi) conclusions and recommendations.

Appendix A summarizes calibration studies conducted for this study.

CONTENTS

1 INTRODUCTION AND BACKGROUND

- Scope of this Report

2 RELATED WORK AND MOTIVATION FOR USING VISION-BASED SENSORS

- Application of Vision-Based Sensors in Other Fields
- Risk Assessment
- Summary Remarks

3 LIGHT-BASED VISION SYSTEMS: OVERVIEW AND VALIDATION

- Background
- Application of Light-Based Tracking
- Methodology Employed in this Work
- Three-Dimensional (3D) Reconstruction
- Shake Table Test Program
- Experimental Results
- Summary Remarks

4 IMAGE-BASED SYSTEM: HARDWARE AND SOFTWARE DESIGN

- Image-based System: Hardware Design
- Image-Based System: Software Design
- Acquisition System Performance Evaluation
- Summary Remarks

5 Image-Based System: Processing and Data Analysis

- Pixel-Based Image Processing Chain (PIPC)
- Resolution of the Processed Data
- Shaking Camera Issue and Correction Patterns
- Poor Features to Track
- Summary Remarks

6 Conclusions and Recommendations for Future Work

- Conclusive Findings
- Recommendations for Future Work

APPENDIX - IMAGE-BASED SYSTEM: CALIBRATION

- Motivation and Related Work
- Terminology
- Classification of Calibration Methods
- Techniques and Steps Involved
- Common Calibration Packages
- Summary Remarks

File Download Type Size
CKV-02 PDF 9.9 MB


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Consortium of Universities for Research in Earthquake Engineering
last updated 02.20.15