空军工程大学学报（自然科学版）2011，Vol.12Issue(5)：61-66,6.DOI:10.3969/j.issn.1009-3516.2011.05.013
多模序列图像目标跟踪的特征融合粒子滤波实现
Object Tracking Based on Particle Filter with Feature Fusion in Multi -mode Image Sequences
摘要
Abstract
To address the ambiguity of information and uncertainty in the image - guided application, a Multi -source information fusion technology is proposed for infrared/visible dual - mode compound imaging guidance. With augmented variance ratio of two classes, an on - line adaptive feature selection scheme is applied to selecting the distinguished attributions in the infrared and visible images. The results of object tracking are yielded in infrared/ visible images respectively based on a particle filter algorithm; by introducing the quality metrics factor of tracking in single - mode image sequences, a weighted fusion strategy is employed to achieve the robust tracking in image sequences, the experimental simulation results has verified the effectiveness of the scheme.关键词
目标跟踪/粒子滤波器/信息融合/增广方差比/图像序列/品质度量因子Key words
object tracking/ particle filter/ information fusion/ augmented variance ratio/ image sequences/ quality metrics factor分类
计算机与自动化引用本文复制引用
史德琴,李俊山,耿志,席涛,刘军霞,汪云飞..多模序列图像目标跟踪的特征融合粒子滤波实现[J].空军工程大学学报（自然科学版）,2011,12(5):61-66,6.基金项目
国家自然科学基金资助项目(61075025) （61075025）
