Resumen
Procedure to detect and locate humans in images acquired by omnidirectional cameras. The procedure consists of two sub-procedures. The sub-procedure A of detection and localization of humans comprising the steps of capturing images of an omnidirectional camera, description of each image by a single vector of characteristics, distribution of the vector of characteristics to a set of foveal classifiers, binary prediction of the foveal classifiers, and approximate location and subsequently accurate of humans in the image, resulting in human detection in the image plane. The detection is robust to changes in pose, scale and lighting, to partial occlusions, and to geometric distortions of the omnidirectional images. The sub-procedure B of parameter adjustment uses a database of images with point annotations to adaptively generate positive and negative samples for each foveal classifier, which are used to train the parameters of the set of classifiers. (Machine-translation by Google Translate, not legally binding)