摘要
为了提升目标物体的跟踪性能,分析了跟踪系统的不足之处,针对多变场景中跟踪目标特征弱化问题,采用了多特征融合的跟踪模式,并设计了场景识别、多特征融合策略和特征学习模块以改善目标跟踪系统的跟踪性能,实验表明该方法对多变场景的跟踪性能具有一定的改善作用。
In order to promote performance of object tracking system, we analyzed the deficiencies of the tracking system, according to the phenomenon of tracking object feature reduction in the complex scene. By the way of multi-feature integration method, we have design the module of scene recognition, multi-feature integration and feature learning strategy to improve the tracking system, the result proved the validity of this strategy and the improvement to the object tracking performance in complex scene.
出处
《大众科技》
2016年第11期9-12,共4页
Popular Science & Technology
基金
广西高校科学技术研究项目"多变场景下的特征融合目标跟踪算法的研究"(KY2015LX566)
广西高等学校高水平创新团队"中国-东盟物流物联网关键技术研究"(桂教人[2014]65号)
关键词
目标跟踪
特征融合
object tracking
feature integration
