CPC G06N 3/084 (2013.01) [G06F 18/253 (2023.01); G06N 3/045 (2023.01); G06V 10/255 (2022.01); G06V 10/7715 (2022.01); G06V 10/806 (2022.01); G06V 10/809 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01); G06V 20/52 (2022.01); G06V 20/58 (2022.01); G06V 40/10 (2022.01)] | 20 Claims |
1. A pedestrian detection method, comprising:
obtaining an image;
performing feature extraction on the image to obtain a basic feature map of the image;
determining, based on the basic feature map of the image, a proposal of the image, wherein the proposal of the image is a bounding box of a region comprising a pedestrian in the image;
processing the basic feature map of the image to obtain an object visibility map of the image, wherein a pixel value of a pedestrian visible part in the object visibility map of the image is greater than a pixel value of a pedestrian invisible part in the object visibility map of the image;
performing fusion processing on the basic feature map of the image and the object visibility map of the image to obtain an enhanced feature map of the image;
determining, based on the proposal of the image and the enhanced feature map of the image, a feature corresponding to the proposal of the image, wherein the feature corresponding to the proposal of the image comprises a region feature of the proposal of the image, and the region feature of the proposal of the image is a feature of a region that is in the enhanced feature map and that is located in the proposal of the image; and
determining, based on the feature corresponding to the proposal of the image, the bounding box comprising the pedestrian in the image and a confidence level of the bounding box comprising the pedestrian in the image.
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