An object detection system for detecting an object in an image, the image including a plurality of image pixels, the object detection system comprising: a memory to store instructions; and a processor responsive to stored instructions to perform the steps of: computing one or more feature planes of one or more types for each image pixel of the image; defining a plurality of cells in the image, each cell including first through n th number of pixels, and starting locations of each cell in the image in horizontal and vertical directions being integral multiples of predefined horizontal and vertical step sizes, respectively; computing one or more feature plane summations of one or more types for each cell of the plurality of cells, wherein a feature plane summation of a type for a cell is computed by summing corresponding features of the first through n th number of pixels of the cell, n being an integral number; determining a feature vector for an image portion of the image, the feature vector including a set of feature plane summations of one or more cells defined in the image portion; and comparing the feature vector with a corresponding object classifier to detect a presence of the object in the image portion of the image, wherein the processor is responsive to stored instructions to perform the steps of determining and comparing the feature vector by: performing in an iterative manner: selecting a type of feature plane from the one or more types of feature planes; computing a partial feature vector, the partial feature vector including one or more feature plane summations of the selected type, for one or more cells of the image portion; comparing the partial feature vector with a corresponding partial classifier of the object; and storing a result of a comparison in the memory; collating one or more comparison results corresponding to each type of the feature plane of the one or more types of feature planes; and detecting the presence of the object in the image based on the collated results. a memory to store instructions; and a processor responsive to stored instructions to perform the steps of: computing one or more feature planes of one or more types for each image pixel of the image; defining a plurality of cells in the image, each cell including first through n th number of pixels, and starting locations of each cell in the image in horizontal and vertical directions being integral multiples of predefined horizontal and vertical step sizes, respectively; computing one or more feature plane summations of one or more types for each cell of the plurality of cells, wherein a feature plane summation of a type for a cell is computed by summing corresponding features of the first through n th number of pixels of the cell, n being an integral number; determining a feature vector for an image portion of the image, the feature vector including a set of feature plane summations of one or more cells defined in the image portion; and comparing the feature vector with a corresponding object classifier to detect a presence of the object in the image portion of the image, wherein the processor is responsive to stored instructions to perform the steps of determining and comparing the feature vector by: performing in an iterative manner: selecting a type of feature plane from the one or more types of feature planes; computing a partial feature vector, the partial feature vector including one or more feature plane summations of the selected type, for one or more cells of the image portion; comparing the partial feature vector with a corresponding partial classifier of the object; and storing a result of a comparison in the memory; collating one or more comparison results corresponding to each type of the feature plane of the one or more types of feature planes; and detecting the presence of the object in the image based on the collated results. performing in an iterative manner: selecting a type of feature plane from the one or more types of feature planes; computing a partial feature vector, the partial feature vector including one or more feature plane summations of the selected type, for one or more cells of the image portion; comparing the partial feature vector with a corresponding partial classifier of the object; and storing a result of a comparison in the memory; collating one or more comparison results corresponding to each type of the feature plane of the one or more types of feature planes; and detecting the presence of the object in the image based on the collated results.