Pedestrian Detection Using Wavelet Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Pedestrian detection and tracking in infrared imagery using shape and appearance
Computer Vision and Image Understanding
Laser Based People Following Behaviour in an Emergency Environment
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
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Mobile robots have a large application potential in industrial shop floors, improving the human action in this kind of environments. The productivity can be greatly increased while reducing cost, particularly for surface operations such as material transport, survey and sampling. In this paper a system able to follow a worker in an industrial environment based on information provided by a laser scan and a stereo camera is presented. In order to accomplish this goal, a probabilistic approach for human leg detection based on data provided by a laser scan is used, enhanced with an histogram based depth detector. The proposed approach also integrates tracking techniques as Kalman Filters to endow the system with an error recovering tool to be used in a real environment.