The Implementation of a Stand-alone Video Tracking and Analysis System for Animal Behavior Measurement in Morris Water Maze
Yu-Jen Chen, Yan‐Chay Li, Ke-Nung Huang, Ming‐Shing Young · 2005
In this paper, a digital image tracking and analysis system based on FPGA is presented. The goal of this research is to build an animal tracking system with a new algorithm for Morris water maze experiment application. Our tracking algorithm can track animal motion and is insensitive to environment brightness change. The system can process the high-resolution image up to 700X480 pixels in real-time speed. We can analyze tiny animal behavior change precisely. This system is very compact and is portable. Compare with other similar device, our system is standalone operation without the necessary of a personal computer.