Title :
Indoor head detection and tracking on RGBD images
Author :
Nizalowska, Katarzyna ; Burdka, Lukasz ; Markowska-Kaczmar, Urszula
Author_Institution :
Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
A real-time human head detection and tracking method for a fall detection system is presented. It utilizes RGBD images to obtain a head position in the three-dimensional space. The proposed method is designed to be insensitive to a body orientation and requires no initial calibration for the tracked person. The evaluation was performed on the basis of annotated videos with realistic non-studio indoor everyday activities and falls. The proposed method outperforms head tracking from the Microsoft Kinect SDK skeleton tracking.
Keywords :
bone; image colour analysis; object detection; real-time systems; target tracking; Microsoft Kinect SDK skeleton tracking; RGBD images; annotated videos; body orientation; fall detection system; head position; indoor head detection; indoor head tracking; nonstudio indoor; real-time human head detection; real-time human head tracking; three-dimensional space; Cameras; Color; Face; Image color analysis; Sensors; Tracking;
Conference_Titel :
Computer Science and Information Systems (FedCSIS), 2014 Federated Conference on
Conference_Location :
Warsaw
