Image processing system to detect objects of interest

Abstract

A method of detecting objects of interest in a vehicle image processing system comprising: a) capturing an image on a camera; b) providing a plurality of potential candidate windows by running a detection window at spatially different locations along said image, and repeating this at different image scaling relative to the detection window size; c) for each potential candidate window applying a candidate selection process adapted to select one or more candidates from said potential candidate windows; d) forwarding the candidates determined form step c) to a convolutional neural network (CNN) process; e) processing the candidates to identify objects of interest; characterized wherein the candidate input into the convolutional neural network (CNN) process have been resized by step b).

Dependencies are inferred from the claim text.