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 firstperson 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.

• Type: Conference
• Year: 2010
• Where: ICPR
• Authors: Yoshinari Kameda, Yuichi Ohta
• Keywords: Computer Vision, First-person Vision, Firstperson Vision Images, ICPR 2010, Images