Vision based pedestrian and cyclist detection method

摘要

A vision based pedestrian and cyclist detection method includes receiving an input image, calculating a pixel value difference between each pixel and the neighbor pixels thereof, quantifying the pixel value difference as a weight of pixel, proceeding statistics for the pixel value differences and the weights, determining intersections of the statistics as a feature of the input image, classifying the feature into human feature and non-human feature, confirming the human feature belonging to cyclist according to the spatial relationship between the human feature and the detected two-wheeled vehicle, and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.

主权项

1. A vision based pedestrian and cyclist detection method, proceeded by a computing processor, comprising the following steps of:
receiving an input image containing at least one human and at least one two-wheeled vehicle; calculating a pixel value difference between each pixel and the neighbor pixels thereof within the input image; quantifying the pixel value difference of each pixel, and defined as a weight of the pixel; proceeding statistics for the pixel value differences and the weights; determining intersections of the statistics as a feature of the input image; classifying the feature into human feature and non-human feature; proceeding a two-wheeled vehicle detection to the input image; confirming whether the human feature is belonging to cyclist if when the spatial relationship between the human feature and the detected two-wheeled vehicle holds; and retaining one detection result for each cyclist by suppressing other weaker spatial relationships between the human feature and the detected two-wheeled vehicle.