1. A method of identifying one or more humans in a sequence of infrared images from a single perspective, comprising the steps of: receiving a first image of the sequence of infrared images, said first image including a human image; and detecting the human image by detecting candidate sections of the first image based on a classifier related to hotspots in said first image and matching the detected candidate sections with a classifier related to a plurality of base images.