Title :
Pfinder: real-time tracking of the human body
Author :
Wren, Christopher ; Azarbayejani, Ali ; Darrell, Trevor ; Pentland, Alex
Author_Institution :
Media Lab., MIT, Cambridge, MA, USA
Abstract :
Pfinder is a real-time system for tracking and interpretation of people. It runs on a standard SGI Indy computer, and has performed reliably on thousands of people in many different physical locations. The system uses a multi-class statistical model of color and shape to obtain a 2-D representation of head and hands in a wide range of viewing conditions. These representations are useful for applications such as wireless interfaces, video databases, and low-bandwidth coding, without cumbersome wires or attached sensors
Keywords :
feature extraction; image sequences; object recognition; optical tracking; real-time systems; statistical analysis; Pfinder; SGI Indy computer; hands; head; human body; low-bandwidth coding; multi-class statistical model; real-time tracking; video databases; wireless interfaces; Cameras; Communication system security; Hardware; Head; Humans; Space exploration; Space technology; Video compression; Virtual reality; Wireless sensor networks;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557243
