Hidehiko Shishido

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To build a robust visual tracking method it is important to consider issues such as low observation resolution and variation in the target object’s shape. When we capture an object moving fast in a video camera motion blur is observed. This paper introduces a visual trajectory estimation method using blur characteristics in the 3D space. We acquire a(More)
This paper proposes a method to estimate position of a small moving object. It is difficult to fit dynamic model of a target object moving fast and anomalously. We focuses on a phenomenon that a high-velocity moving object is observed as a line-shaped region in captured images by motion blur. Shapefrom-silhouette technique is applied to estimate the 3D(More)
In this paper, we introduce a method to estimate 3D position of a badminton shuttle using unsynchronized multiple-view videos. The research of object tracking for sports is conducted as an application of Computer Vision to improve the tactics involved with such sports. This paper proposes a technique to stably estimate object's position by using motion blur(More)
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