摘要
在目标的动态背景中存在有利于目标跟踪的信息.使用辅助目标来描述目标的动态背景,在跟踪目标的同时建立辅助目标与目标之间的运动依赖关系.用多个辅助目标预测目标的位置,将辅助目标预测结果与目标跟踪器预测结果融合得到目标位置.方法包括,利用辅助目标与目标之间的运动依赖关系和辅助目标自身跟踪精度的辅助目标选择方法;使用多个低精度辅助目标跟踪器获得良好的目标预测结果的辅助目标跟踪和目标预测方法;以及根据目标跟踪结果更新辅助目标跟踪参数的方法.辅助目标具有多样性和独立性.基于辅助目标的目标跟踪方法可以与其他目标跟踪器结合,具有推广泛化能力.实验结果表明,辅助目标在目标跟踪中发挥重要作用,与其他目标跟踪方法对比结果表明,有更好的鲁棒性和目标跟踪精度.
The dynamic background of images contains effective information that is favorable for object tracking. This paper uses auxiliary objects describing the target background. Motion dependencies between auxiliary objects and target itself are established first. Then the tracking of auxiliary objects by trackers with relative lower precisions predicts the target position. The position results predicted by auxiliary objects and by the basic tracker are fused to get a better result. Meanwhile, parameters updating is done according to the tracking result. Extensive experimental results show that auxiliary objects are effective for tracking the target. Comparison with other trackers proves the method s better robustness and precision.
作者
刘畅
赵巍
刘鹏
唐降龙
LIU Chang;ZHAO Wei;LIU Peng;TANG Xiang-Long(College of Computer Science and Technology,Harbin In-stitute of Technology,Harbin 150001;Research Center of Pattern Recognition and Intelligence System,Harbin Institute of Technology,Harbin 150001)
出处
《自动化学报》
EI
CSCD
北大核心
2018年第7期1195-1211,共17页
Acta Automatica Sinica
基金
国家自然科学基金(61671175
61672190)资助~~
关键词
目标跟踪
动态背景
辅助目标
跟踪器融合
Object tracking
dynamic background
auxiliary objects
trackers fusion
