In various application fields, high-speed cameras are used to analyze high-speed phenomena. Coded structured light projection methods have been proposed for acquiring three-dimensional images. Most of them are not suitable for measuring high-speed phenomena because the errors are caused when the measured objects move due to light projection of multiple patterns. In this paper, we propose a new coded structured light projection method that can select not only a temporal encoding but also a spatial encoding adaptively for obtaining three-dimensional images at a high-speed frame rate. We also develop an evaluation system that uses a DLP projector and an off-line high-speed video camera, and verify the effectiveness of the proposed method by showing the obtained three-dimensional shapes for moving objects.

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Scratching is a specific behavior induced by itching; it is also a common symptom of many types of dermatitis. For the itching evaluation in animal models, automatic quantification system is needed for objective and accurate observation. In this study, a dedicated real-time motion analysis system is developed for detecting the scratching behavior of laboratory mice in long-time experiments, which enables automated behavior quantification for the development of new drugs for diseases such as atopic dermatitis. This system can detect laboratory mice scratching in a non-invasive method by introducing a specially designed high-speed vision system that can calculate the frame-to-frame difference at a frame rate of 240 fps. A quantification algorithm is also implemented for distinguishing the scratching behavior from other behaviors. In fact, we evaluate the effectiveness of our system by demonstrating the experimental results of scratching behavior detection during the long-time observation of several ICR mice. The results also show the objectiveness and accuracy.

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