1. A method for detecting an object in an image comprising: calculating a log L likelihood of pairs of pixels at select positions in the image, said select positions being derived from a plurality of first training images and a plurality of second training images; comparing said calculated log L likelihood of said pairs of pixels with a threshold value; and determining that the object has been detected when said calculated log L likelihood is greater than said threshold value.