Intelligent data analysis by a home-use human monitoring robot
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Predicting the State of a Person by an Office-Use Autonomous Mobile Robot
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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In this paper we describe a Camshift implementation on mobile robotic system for tracking and pursuing a moving person with a monocular camera. Camshift algorithm uses color distribution information to track moving object. It is computationally efficient for working in real-time applications and robust to image noise. It can deal well with illumination changes, shadows and irregular objects motion (linear/non-linear). We compared the Camshift with a HSV color based tracking and our results show that the Camshift method outperformed the HSV color based tracking. Moreover, the former method is much more robust against different illumination conditions.