Leadership and Self-Propelled Behavior Based Autonomous Virtual Fish Motion

This paper presents a method of shoal motion with an effective leadership of autonomous virtual fish. Shoal motion is led by a leader and computed by five steering behavior vectors including cohesion, separation, velocity, escape and goal vectors. Through experiments, we demonstrate that a leader of the motion simulation has great effect in leadership and great accuracy to guide the group.