Title :
Statistical recognition of motion patterns
Author :
Illmann, Jörg ; Kluge, Boris ; Prassler, Erwin
Author_Institution :
Res. Inst. for Appl. Knowledge Process., Ulm, Germany
Abstract :
This paper addresses the problem of people detection in dynamic environments in real-time and the extraction of typical motion patterns. The need for estimation of peoples movements with a mobile robot is essential for many applications in the field of service robotics. One key prerequisite for a machine to interact intelligently with people is its ability to recognize humans and their behavior. This paper presents an approach for tracking people in dynamic environments and to determine their behavior.
Keywords :
image colour analysis; image motion analysis; image recognition; image segmentation; man-machine systems; mobile robots; object detection; real-time systems; robot vision; color histogram tracking; dynamic environments; human recognition; machine people intelligent interaction; mobile robot; motion patterns; moving observer; object tracking system; people detection; people tracking; range based scene segmentation; range based tracking; robustness; service robotics; spatio-temporal sequence recognition; statistical recognition; Cameras; Data mining; Image segmentation; Intelligent robots; Layout; Machine intelligence; Mobile robots; Pattern recognition; Robot vision systems; Robustness;
Conference_Titel :
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN :
0-7803-7398-7
DOI :
10.1109/IRDS.2002.1043917
