1. An adaptive method for classifying objects with parallel architecture storing a plurality of scene parameters and a plurality of classifier parameters, and said adaptive method for classifying objects with parallel architecture comprises steps of: retrieving at least one image datum; dragging frames to enclose a plurality of obstruction images of said image datum and deciding a frame range according to a range of each said obstruction image; using a histogram of oriented gradient (HOG) algorithm to divide each said obstruction image into a plurality of small blocks and to perform statistics on nine characteristic vectors in each said small block, thereby obtaining said obstruction characteristic data of said obstruction images, and choosing and calculating said scene parameters and said classifier parameters corresponding to said obstruction characteristic data to obtain a plurality of classification data; and determining whether said classification data is larger than a floating threshold corresponding to obstruction classification: if yes, determining that said classification data belongs to said obstruction classification and outputting positions of enclosed said obstruction images; and if no, determining that said classification data does not belong to said obstruction classification.