Visualization of a Fish Behavior using Successive Three-Dimensional Shape Modeling

Abstract

Visualization of a three-dimensional fish behavior based on the successive feature extraction using the time sequential three-dimensional shape modeling is reported. The principle of the modeling is based on the intersected viewing pyramid consisting of each image boundary of the object and the corresponding focal point. Threedirectional video images are simultaneously acquired and sequential solid models are then reconstructed to obtain behavioral parameters such as body shape, skeleton, head, tail, gravity center, direction, attack angle, trajectory, velocity, acceleration, and moving energy. This procedure is entirely automatic requiring no manual operation and appears to have some considerable utility in tracking and measurement of moving objects.