Abstract
This paper proposes a real-time, continuous pedestrian tracking and positioning method with multiple coordinated overhead-view cameras. First, a discriminative correlation filter with detection and space reliability (DSR-DCF) is presented for continuous, real-time pedestrian tracking with single cameras. Then, the frame difference method is employed to detect moving pedestrians when they walk from one camera’s view to another’s. Motion-area images are cropped to establish a pedestrian image library (PIL). Finally, this PIL is relied upon to reidentify pedestrians. Pedestrian positioning is realized based on the pinhole imaging model. Tracking and positioning experiments showed the following. DSR-DCF is stable with a high success rate. Its tracking speed exceeds 24 fps. It produces a success rate higher than 90% for cross-camera pedestrian tracking and misses no pedestrians. It yields stable pedestrian positioning results with an accuracy better than 0.2 m. The proposed algorithm will be used in airport terminals.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call