17. The system of claim 14 wherein the descriptor generating means for generating the descriptor comprises: gradient computing means for computing a gradient for each pixel in the cell; quantization means for quantizing each gradient into a bin based on an orientation of the gradient; cell grouping means for grouping the at least one cell into at least one block of overlapping cells; and normalization means for normalizing the at least one block for brightness and contrast changes.
14. A system for human detection and a pose classification comprising: training image receiving means for receiving a training image from a set of training images; image dividing means for dividing the training image into at least one cell, each cell having at least one pixel; descriptor generating means for generating a descriptor for each of the at least one cell, the descriptor representing the cell based on a histogram; model generating means for generating a probabilistic model based on the set of training images, the probabilistic model representing statistics of the set of training images characterized in that contributions of each component of the probabilistic model combine additively; detecting means for detecting if a human is present in a test image based on the probabilistic model derived from the set of training images; and classifying means for classifying a pose of a detected human in the test image based on the probabilistic model and the test image.