Particle filtering-based pupil tracking method in sight tracking system

The invention discloses a particle filtering-based pupil tracking method in a sight tracking system and belongs to the field of human-computer interaction. Aiming at a problem that the pupil tracking efficiency in the conventional infrared image is poor, the method creates a concept of a tri-channel pseudo color image (TCPCM) which fully uses information of each channel, enables the characteristics of a pupil to be obvious, and improves the stability and the accuracy of tracking. Aiming at a problem that a background interferes in a pupil tracking process, the method creates a pupil object model which accords with the morphological characteristics and change rules of the pupil to fully differentiate the front background from the back background so as to decrease the interference of the background to the object model. Aiming at a problem that the prediction effect of the position and the form of the pupil is poor, the method creates a state transition equation embodying the motion rules of the pupil, fully considers various conditions of the state change of the pupil and can effectively predict the position and shape of the pupil. Through high-quality characteristic detection and tracking, the method enables the precision of a developed sight tracking system to reach a level of real-time human-computer interaction.