An Observation of Vision Based Underwater Object Detection and Tracking

The detection of an object or moving object is a comprehensive goal in the research domain in the era of computer vision. Numerous scientists are quick to think about the underwater world and the living articles in the deep ocean and they are incompletely effective to their objective. In this research work, , we observe the potentiality in underwater by a vision based object detection sphere by applying various previous work for highlighting the arising consequences in various underwater situation.. We have collected the dataset from various source of water such as clean water, turbid water, bubbles water etc. We used OpenCV and Python programming language to detect the object. Finally the detection of object in underwater is studied for connecting with the basic color based HSV(Hue, Saturation, Value) segmentation.