Object Recognition Using Feature-and Color-Based Methods

An improved adaptive method of processing image data in an artificial neural network has been developed to enable automated, real-time recognition of possibly moving objects under changing (including suddenly changing) conditions of illumination and perspective. The method involves a combination of two prior object-recognition methods — one based on adaptive detection of shape features and one based on adaptive color segmentation — to enable recognition in situations in which either prior method by itself may be inadequate.