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Intra-frame scan: a method for estimating object movements using an interlace camera and visual markers

There has recently been a great deal of research on location-dependent services, such as navigation systems where these estimate the location of participants in event spaces and provide navigation for them. There are methods of estimating absolute positions such as those using GPS and those using RFID tags. However, they have problems with the high installation cost and environmental restrictions. Therefore, relative-position estimation is a strong candidate that is inexpensive and can be broadly adapted. Although there are existing methods of estimating relative positions using wearable sensors, they have problems with the cost of managing multiple sensors. There is a method using an optical flow of camera images. However, since it needs a high degree of computational power for calculating optical flows, it cannot respond to high-speed motion. In this paper, we propose a new method of estimating relative positions using simple markers and an interlace camera. Since our system estimates the relative distance by using two successive images with a very short scanning interval captured by an interlace camera, it can adapt to high-speed movement.