Realization of Fish Robot Tracking-control Methods for a Science Museum

BJ Kim, KJ Shin - IEIE Transactions on Smart Processing & Computing, 2018 - dbpia.co.kr
IEIE Transactions on Smart Processing & Computing, 2018dbpia.co.kr
This paper researches a way of detecting fish robots moving in an aquarium. The fish robot
was designed and developed for interactions with humans in aquariums. It was studied
merely to detect a moving object in an aquarium because we need to find the positions of
moving fish robots. The intention is to recognize the location of robotic fish using an image
processing technique and a video camera. This method is used to obtain the velocity for
each pixel in an image, and assumes a constant velocity in each video frame to obtain …
This paper researches a way of detecting fish robots moving in an aquarium. The fish robot was designed and developed for interactions with humans in aquariums. It was studied merely to detect a moving object in an aquarium because we need to find the positions of moving fish robots. The intention is to recognize the location of robotic fish using an image processing technique and a video camera. This method is used to obtain the velocity for each pixel in an image, and assumes a constant velocity in each video frame to obtain positions of fish robots by comparing sequential video frames. By using this positional data, we compute the distance between fish robots using a mathematical expression, and determine which fish robot is leading and which one is lagging. Then, the lead robot will wait for the lagging robot until it reaches the lead robot. The process runs continuously. This system is exhibited in the Busan Science Museum, satisfying a performance test of this algorithm.
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