SYSTEM AND METHOD FOR STRUCTURING A LARGE SCALE OBJECT RECOGNITION ENGINE TO MAXIMIZE RECOGNITION ACCURACY AND EMULATE HUMAN VISUAL CORTEX

An object recognition system and method is provided which uses automated algorithmically determined negative training. Negative training with respect to a particular object classifier allows for more streamlined and efficient targeted negative training, enabling time and cost savings while simultaneously improving the accuracy of recognition based on the targeted negative training. According to certain additional aspects, embodiments of the invention relate to a system and method for structuring an object recognition engine to maximize recognition accuracy and emulate human visual cortex.