The present invention belongs to the computer vision field, and relates to a point of regard detection method based on the multilayer information fusion. The point of regard detection method is characterized by obtaining a bottom-layer information detection result diagram by the bottom-layer information, such as the colors, etc.; utilizing the spatial position to obtain a center prior diagram; extracting a candidate target frame and the CNN depth features of an original image, utilizing a bag-of-word model to encode, sending the encoded visual features in a trained multi-instance RMI-SVM classifier to mark, and carrying out the Gaussian smoothing on the center of the frame and then carrying out the weighted stack according to the mark of the target frame to obtain a detection result diagram of a target grade; extracting the features describing the overall content of the original image itself, training a softmax regression device to obtain the fusion weight, and adopting the weight to carry out the weighted fusion on the above result diagram. The point of regard detection method of the present invention comprehensively utilizes the information at the three aspects of the color contrast, the significant target and the spatial position, adjusts the proportion of various information aiming at different images, and can have a better detection rate aiming at the image containing various content.