Elevated Plus Maze on Based Computer Vision

Abstract

This paper presents a novel method for rat detection and tracking in a platform known as elevated-plus maze and for recording the rat movements as a time elapsed in specific regions in real time surveillance systems. First, the location of plus maze platform is automatically determined by using hough transform. Rats in the platform are detected by applying otsu based automatic thresholding. Otsu-based automatic thresholding is applied to discriminate the pixels as foreground and bacground pixels. The foreground pixels are then grouped by using a bounded box. From now on, for every new frame , active subject has been followed in platform that is seperated regions and elapsed times in regions are recorded. Plus maze system we take 25 frames per second is present more right results than other available systems. We applied this approach on video records that are taken from KTU-Physiology Lab.