The invention discloses a
human leg detection method based on two-dimensional scanning lasers. The method comprises the steps that firstly, the indoor environment is scanned through a
laser sensor, and scanning data are preprocessed; secondly,
AdaBoost training is carried out according to collected data, in other words,
data partitioning is carried out on several sets of collected scanning samples, and with the scanning samples as input of an
algorithm, a strong classifier is obtained through training and learning on the basis of an established weak classifier; then,
human leg gait detection is carried out, in other words,
vertical edge detection is carried out on the preprocessed
laser scanning data, and all subsets meeting
human leg modes are detected in extracted vertical edges; finally, classification judgment is carried out on a detected SL model through the
AdaBoost algorithm. According to the method, the purpose of rapid human leg detection is effectively achieved through the low-cost two-dimensional lasers, the method is simple, rapid and high in accuracy, and the defects that a common
computer vision method is low in calculation speed and is interfered by images are overcome.