Tracking People in Broadcast Sports

Abstract. We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance features and optical flow for motion estimation. The confidence map provides a continuous estimate of possible target locations in each frame and outperforms tracking with discrete target detections. We demonstrate the tracker on sports videos, tracking fast and articulated movements of athletes such as divers and gymnasts and on non-sports videos, tracking pedestrians in a PETS2009 sequence.

• Type: Conference
• Year: 2010
• Where: DAGM
• Authors: Angela Yao, Dominique Uebersax, Juergen Gall, Luc J. Van Gool
• Keywords: Confidence Map, DAGM 2010, Image Processing, Monocular Broadcast Sports, Sports Videos