Optical Tracking Method based on Clustering Technique under Ocean Water Cleaning System

Authors

  • K. Naresh Kumar Thapa
  • S. Sankara Gomathi
  • T. Suresh
  • S. S Raghavendran

Abstract

Usage of sea for dumping garbage is a serious concern in today’s world. Removing the garbage’s which are clandestinely dumped in the ocean floor pose an environment threat and needs immediate concern. The increase in plastic particles in fishes and other planktons in the ocean is increasing alarmingly. In this paper we are envisioning a robot fish which will feed on plastic and non living organism which pollute the environment. The real challenge lies in identifying the movement of the living organism and differentiating with non living movement in a hostile environment. We propose an optical flow method using CAMShift algorithm with Kalman Filter for tracking a moving target. In order to confirm the moving object is alive we forage the image area by adjusting the window size to find the shape and orientation changes using background weighted histogram. The final stage is the use of universal Kalman filter to avoid being trapped in a loop of searching the plastic and detecting live organism.

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Published

2020-02-08

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Section

Articles