西安电子科技大学学报（自然科学版）2017，Vol.44Issue(2)：151-157,7.DOI:10.3969/j.issn.1001-2400.2017.02.026
自适应分块的多特征融合多目标跟踪
Multi-target tracking method based on the adaptive fragment and multi-feature fusion
摘要
Abstract
In order to solve the problems of occlusion, appearance change and similar targets in multi-target tracking, this paper proposes a multi-target tracking method with the particle filter based on the adaptive fragment and multi-feature fusion.First, we divide each target into a few fragments adaptively according to its gray projection and describe each fragment with the color histogram and histogram of oriented gradient(HOG) feature, of which similarity can be obtained by adopting the weighted Bhattacharyya Coefficient.Then, we obtain particle sets of each target by FCM clustering.The optimal state estimation of each target is calculated through particles state in the subgroup.Finally, the weighting factor of each fragment is updated according to the reliability which is calculated by considering particles space information.Experimental results show that the proposed method can track the targets in many complex circumstances accurately and robustly.关键词
多目标/自适应分块/多特征融合/方向梯度直方图/粒子滤波Key words
multiple targets/adaptive fragment/multi-feature fusion/histogram of oriented gradient/particle filter分类
信息技术与安全科学引用本文复制引用
别秀德,刘洪彬,常发亮,彭志勇..自适应分块的多特征融合多目标跟踪[J].西安电子科技大学学报（自然科学版）,2017,44(2):151-157,7.基金项目
国家自然科学基金资助项目(61673244, 61273277) （61673244, 61273277）
高等学校博士学科点专项科研基金资助项目(20130131110038) （20130131110038）
