Object Tracking Based on Unmanned Aerial Vehicle Video

The video sequence images about the ground targets of dynamic information are obtained from the high speed unmanned aerial vehicle, the camera movement has brought some difficulties to the target detection, object tracking. With the characteristics of displacement of the background in UAV video sequences images, the moving target detection and tracking technology is divided into three parts: motion estimation, target detection, object tracking. Because of the target smaller, lower resolution in the UAV video sequences image, so a region-based tracking algorithm is proposed. The computation of method, the speed of computational meets the needs of real-time tracking, experiment and achieved good results.

[1]  Isaac Cohen,et al.  Detection and Tracking of Objects in Airborne Video Imagery , 2003 .

[2]  Rachid Deriche,et al.  Region tracking through image sequences , 1995, Proceedings of IEEE International Conference on Computer Vision.

[3]  Rangachar Kasturi,et al.  Machine vision , 1995 .

[4]  Gérard G. Medioni,et al.  Detecting and tracking moving objects for video surveillance , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[5]  Edward A. Watson,et al.  High-Resolution Image Reconstruction from a Sequence of Rotated and Translated Frames and its Application to an Infrared Imaging System , 1998 .

[6]  Kevin Nickels,et al.  Estimating uncertainty in SSD-based feature tracking , 2002, Image Vis. Comput..

[7]  David Suter,et al.  Object tracking in image sequences using point features , 2005, Pattern Recognit..

[8]  Natan Peterfreund,et al.  Robust Tracking of Position and Velocity With Kalman Snakes , 1999, IEEE Trans. Pattern Anal. Mach. Intell..