1. A method for classifying objects within a vehicle, said method comprising the steps of: detecting at least one object using at least one non-vision sensor and generating at least one object detection signal in response to the detection; generating at least one range signal in response to said at least one object detection signal; generating at least one image detection signal using at least one image generating sensor comprising an image representation of said at least one object; projecting said at least one object detection signal on an image plane in response to said at least one image detection signal to generate at least one fused image reference; generating at least one search region on said image plane in vicinity of each of said at least one fused image reference; calculating at least one vector of feature values via generation of at least one sum-array and in response to said at least one range signal and said at least one image detection signal; and classifying each of said at least one search region in response to said at least one vector of feature values; wherein said at least one vector of feature values is calculated using a plurality of functions; wherein said plurality of functions comprise a common set of parameters selected from at least one of attributed data, inner window specifications, or outer window specifications; wherein said attributed data comprises a set of sum-arrays; and wherein said set of sum-arrays are formed in response to a set of features selected from at least one of intensity data, squared intensity data, x-derivative data, and y-derivative data.