|
|
Infrared Target Tracking Method Based on Hierarchical Matching and Background Patching |
HUANG Fei, LI DeHua |
State Education Commission Key Laboratory for Image Processing and Intelligence Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074 |
|
|
Abstract In infrared image sequence, it is difficult to describe the moving change of target using model on account of its anomalous moving. An infrared target precise tracking method is proposed based on hierarchical matching and background patching. The sequence image difference, which is caused by anomalous tingling of the camera, is wiped off by using background patching method. The tracking precision is improved greatly using the integration of hierarchical matching and background patching. The experimental results show the proposed method is efficient and robust for the infrared target tracking in the clutter background.
|
Received: 10 May 2006
|
|
|
|
|
[1] Peng Ningsong, Yang Jie, Zhou Dake, et al. MeanShift Tracking with Adaptive Model Update Mechanism. Journal of Data Acquisition & Processing, 2005, 20(2): 125129 (in Chinese) (彭宁嵩,杨 杰,周大可,等.MeanShift跟踪算法中目标模型的自适应更新. 数据采集与处理, 2005, 20(2): 125129) [2] Cheng Jian, Yang Jie. Novel Infrared Object Tracking Method Based on MeanShift. Journal of Infrared and Millimeter Waves, 2005, 24(3): 231235 (in Chinese) (程 建, 杨 杰. 一种基于均值移位的红外目标跟踪新方法. 红外与毫米波学报, 2005, 24(3): 231235) [3] Zhang Shuqun, Karim M A. Automatic Target Tracking for Unmanned Aerial Vehicle Video Annotation. Optical Engineering, 2004, 43(8): 18671873 [4] Cohen I, Medioni G G. Detecting and Tracking Moving Objects for Video Surveillance // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Fort Collins, USA, 1999: 23192325 [5] Foresti G L. Object Recognition and Tracking for Remote Video Surveillance. IEEE Trans on Circuits and Systems for Video Technology, 1999, 9(7): 10451062 [6] Zhang D, Lu G. Segmentation of Moving Objects in Image Sequence: A Review. Circuits Systems Signal Processing, 2001, 20(2): 143183 [7] Shi J, Tomasi C. Good Features to Track // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington, USA, 1994: 593600 [8] Cavallaro A, Steiger O, Ebrahimi T. Multiple Video Object Tracking in Complex Scenes // Proc of the 10th ACM International Conference on Multimedia. JuanLesPins, France, 2002: 523532 |
|
|
|