Implementing Camshift on a Mobile Robot for Person Tracking and Pursuit
説明
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.
収録刊行物
-
- 2011 IEEE 11th International Conference on Data Mining Workshops
-
2011 IEEE 11th International Conference on Data Mining Workshops 682-688, 2011-12-01
IEEE