Mosquito Tracking by Image Segmentation of Optical Flow Field

Abstract

High speedy Mosquito tracking and a time efficient technique have been presented by considering on image segmentation of the optical flow which has been computed by image successive frames to track the Mosquito of a specific region of interest (SROI) on the region of field (ROF) with segmented flow regions. The optical flow has been established by the successive two frames to consider acquiring the image for computing. A fuzzy antagonism index has been indicated as the degree of the consistency of flying Mosquito. The image frames are used to segment the optical flow field. The images have been segmented in flow field with in the different consistency of region of interest (ROI). The specific region of interest (SROI) can be detected in the different ROI spaces. Therefore, the Mosquito can be tracked from two subsequent images. However, the detected specific region of interest (SROI) is a sub-region of ROI. The SROI is smaller in the image frames which can reduce the time to compute the SROI. It is the facilitating real-time process of Mosquito. In the proposed technique, it has been demonstrated image sequences of moving or flying Mosquito for detection and position tacking.