1. An adaptive learning-based human detection method configured for at least one channel input of captured human image signals, the human detection method comprising: acquiring a plurality of window frames of real-time images associated with at least one human from a light detection sensor, wherein the real-time images capture an indoor or outdoor environment associated with the at least one human; capturing a foreground associated with a first image of the real-time images disposed in a window frame of the first image; deriving a background from the first image by utilizing a processor; enhancing a quality parameter of the first image around the foreground; deriving a histogram of oriented gradient (HOG) classifier for the foreground of the first image, wherein the HOG classifier detects the at least one human for a first level human detection; deriving a Haar classifier upon a positive first level human detection, wherein the Haar classifier detects a face of the at least one human for a second level of human detection; detecting the at least one human present in the plurality of window frames of real-time images; and counting a number of the at least one human based on detection of the face.