TARGET RECOGNITION DEVICE, TARGET RECOGNITION METHOD, PROGRAM AND CONVOLUTION NEURAL NETWORK

摘要

To provide a target recognition device that can improve convenience in detection of a target based on an image, and a posture estimation thereof.SOLUTION: A target recognition of an embodiment has: a convolution neural network unit; and an acquisition unit. The convolution neural network unit has a convolutional neural network that is obtained by learning, using a plurality of learning data on a combination of a learning image having at least one target of a plurality of targets different in category captured, and teacher data indicative of a category, location and direction of the target in the learning image, and is configured to generate a score map as to the target for each pixel of an input image from the input image, using the convolution neural network. The acquisition unit is configured to acquire target recognition information indicative of at least one of the category, location and direction of the target captured in the input image on the basis of the score map.SELECTED DRAWING: Figure 1