Real-Time Infrared Object Tracking Based on Mean Shift
Themean shift algorithm is an efficient method for tracking object in the color image sequence. However, in the infrared object-tracking scenario, there is a singular feature space, i.e. the grey space, for representing the infrared object. Due to the lack of the information for the object representation, the object tracking based on the mean shift algorithm may be lost in the infrared sequence. To overcome this disadvantage, we propose a new scheme that is to construct a cascade grey space. The experimental results performed on two different infrared image sequences show our new scheme is efficient and robust for the infrared object tracking.
- 3.Bradski, G.R.: Real Time Face and Object Tracking as a Component of a Perceptual User Interface. In: Proc. IEEE Workshop on Applications of Computer Vision, Princeton, pp. 214–219 (1998)Google Scholar
- 5.Comaniciu, D., Ramesh, V., Meer, P.: Real-Time Tracking of Non-Rigid Objects Using Mean Shift. In: Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 142–149 (2000)Google Scholar
- 7.Shekarforoush, H., Chellappa, R.: A Multi-Fractal Formalism for Stabilization, Object Detection and Tracking in FLIR Sequence. In: IEEE International Conference on Image Processing, vol. 3 (2000)Google Scholar
- 8.Daviesy, D., Palmery, P., Mirmehdiz, M.: Detection and Tracking of Very Small Low Contrast Objects. In: Ninth British Machine Vision Conference (1998)Google Scholar