The invention discloses an event camera-based convolutional recurrent neural network eye detection method convolutional recurrent neural network eye detection method. The method comprises the steps of: obtaining event stream data from an event camera, and converting the event stream data into an event image; de-noising the event image and unifying the resolution of the event image; putting the event image into a convolutional neural network to train the convolutional neural network; and obtaining a detection result with relatively high confidence through non-maximum suppression of blink detection. According to the method, a feasible method is provided for face and eye detection tracking and blink detection by using event data, the problem that the frame rate of a common recording camera is insufficient is solved, the time resolution is higher, and the capability of dynamically adapting to the frame rate of each task is achieved.
Event camera-based convolutional recurrent neural network eye detection method