1. A method of gait recognition, the method comprising: receiving by circuitry a gait sequence, the gait sequence including a predetermined number of image frames of a subject; processing by circuitry, the received gait sequence to generate a gait-energy-image (GEI); computing by circuitry, a plurality of Gabor filter responses by convoluting the generated GEI with a bank of Gabor filters, the filter bank including a first predetermined number of unique scales, and a second predetermined number of unique orientations, partitioning by circuitry, each Gabor filter response of the computed plurality of Gabor filter responses, into a predetermined number of overlapping regions; extracting by circuitry, a predetermined number of statistical features only from the overlapping regions, the extracted statistical features corresponding to texture content of the subject; and recognizing by circuitry, the subject based on a classification of the extracted statistical features.