Image Retrieval of First-Person Vision for Pedestrian Navigation in Urban Area

We propose a new computer vision approach to locate a walking pedestrian by a camera image of first-person vision in practical situation. We assume reference points have been registered with other first-person vision images. We utilize SURF and define seven matching criteria that derive from the property of first-person vision so that it rejects false matching. We have implemented a preliminary system that can respond to a query within 1/2 seconds for a path of approximately 1 km long around Tokyo downtown area where pedestrians and vehicles are always in images.