This paper presents the real-time multi-user eye tracking technique for multiview 3D systems. The proposed technique used the Haar feature-based face detection and classification. Then, it calculated the best matching template, and extracts eye positions based on biological proportion. Simulation results showed the proposed method enhanced the average F1 score up to 0.312, compared with conventional methods.