This document summarizes a research paper on eye tracking and blink detection using fuzzy template matching and parameter-based judgment. The paper proposes a method to automatically initialize eye blink detection in video sequences for real-time eye tracking applications. It uses motion analysis to locate the eyes, then creates an online template of the open eye to track between frames using normalized correlation. Experiments on 100 videos achieved 79% accuracy in template generation and 89.33% accuracy in blink detection by comparing automatic and manual counts. The method provides an efficient initialization technique for real-time eye tracking and blink detection.