An automatic Approach for Eye Tracking and Blink Detection in Real Time

Eye blinking is a physiological necessity for humans. This method automatically locates the user’s eye by detecting eye blinks. Motion analysis techniques are used in this stage, followed by online creation of the open eye template. The open eye template is used to locate the user’s eye in the subsequent frames with template matching. Blink detection is performed using motion analysis techniques. In this paper a new method of eye tracking is proposed because in older method detection algorithm has poor real time performance. This method combines the location and detection algorithm. The algorithm is based on the analysis of the eye features in eye contrast, eye blinking, and other properties. It consists of two stages. In the initialization stage the algorithm locates the approximate head location from consecutive video frames. This algorithm is a dynamic automatic eye tracking system that can adapt the environment change and reinitialize if the tracking is lost. The experiments of this method show satisfactory results in term of accuracy and reasonable time complexity. KeywordsEye Tracking, Blink Detection, Eye template.