Abstract: A method and system are provided to proactively recognize an action of a road user in road traffic, wherein an image of the road user, which is structured in a pixel-wise manner, is captured by way of at least one camera, and corresponding image data is generated. Image data of multiple pixels is grouped in each case by cells, wherein the image comprises multiple cells. A respective centroid is determined based on the image data within a cell. For each of the pixels, the respective distance from the centroids of a plurality of cells is ascertained, wherein a feature vector that is assigned to the pixel is formed based on coordinates of the respective pixel and the centroids. The feature vector is compared to at least one reference vector cluster, and a pose is associated with the road user based on the comparison.

Abstract: A method and system are provided to proactively recognize an action of a road user in road traffic, wherein an image of the road user, which is structured in a pixel-wise manner, is captured by way of at least one camera, and corresponding image data is generated. Image data of multiple pixels is grouped in each case by cells, wherein the image comprises multiple cells. A respective centroid is determined based on the image data within a cell. For each of the pixels, the respective distance from the centroids of a plurality of cells is ascertained, wherein a feature vector that is assigned to the pixel is formed based on coordinates of the respective pixel and the centroids. The feature vector is compared to at least one reference vector cluster, and a pose is associated with the road user based on the comparison. The pose is representative of the road user planning to carry out the action.