Research Projects: SceneIdentifier

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Project Name SceneIdentifier
Team Members Falko Kuester, Tara C. Hutchinson, Kai-Uwe Doerr and David Lim
Project Sponsor National Science Foundation (NSF) and the Consortium of Universities for Research in Earthquake Engineering (CUREE)
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In contrast to conventional image-capture systems, which attempt to minimize the amount of data collected during capture, typically by using hardware filters, the more general condition of using all information captured on a camera sensor is much more challenging and requires rigorous consideration of the hardware and software pipelines to obtain accurate tracking results. SceneIdentifier provides a unique hardware and software design developed for use as a fully image-based capture system. Aims of SceneIdentifier are to minimize the cost of this system by maximizing hardware control through software implementation. The hardware and software requirements are cast in the context of the desired high-speed capture suitable for earthquake motions or other dynamic movements in a scene. Laborarory and field experiments have been conducted to optimize performance and stability of the system and motion tracking and filtering teachinques. Tests have demonstrated that this system is suitable for monitoring of building interiors.


This project is supported by the National Science Foundation, Civil and Mechanical System Division (grant number 0340540). Additional support was provided under a joint program between the Consortium of Universities for Research in Earthquake Engineering (CUREE) and Kajima Corporation. The above support is greatly appreciated.


  • Hutchinson, T. C., Kuester, F., Doerr, K.-U., and Lim, D. H. (2006). Optimal hardware and software design of an image-based system for capturing dynamic movements. IEEE Transactions on Instrumentation and Measurement. In Press.

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