1. A method, comprising: applying weak classifiers of a real-adaboost technique to image patches of an image, the weak classifiers being exemplars taken from example images as examples of an object that is detectable in the image patches of the image; determining a confidence score for each of the weak classifiers as applied to an image patch of the image, the confidence score of a weak classifier being an indication of whether the object is detected in the image patch of the image based on the weak classifier; and summing all of the confidence scores of the weak classifiers to generate an object detection score that indicates whether the image patch of the image includes the object.