Real-time people tracking for mobile robots using thermal vision
作者： André Treptow , Grzegorz Cielniak , Tom Duckett
DOI: 10.1016/J.ROBOT.2006.04.013
关键词:
摘要: Abstract This paper presents a vision-based approach for tracking people on mobile robot using thermal images. The combines particle filter with two alternative measurement models that are suitable real-time tracking. With this person can be detected independently from current light conditions and in situations where no skin colour is visible. In addition, the comprehensive, quantitative evaluation of different methods an office environment, both single multiple persons. results show model was learned local grey-scale features could improve performance elliptic contour model, combined to further minimal extra computational cost.
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