融合时空上下文的复杂背景下多运动目标检测  

Multiple moving targets detection under complex background by integrating spatio-temporal context

作　　者：张寅[1,2] 蔡旭阳 许倩倩 闫钧华 苏恺[2] 张琨 ZHANG Yin;CAI Xu-yang;XU Qian-qian;YAN Jun-hua;SU Kai;ZHANG Kun(Key Laboratory of Space Photoelectric Detection and Perception(Nanjing University of Aeronautics and Astronautics),Ministry of Industry and Information Technology,Nanjing 211106;College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]南京航空航天大学空间光电探测与感知工业和信息化部重点实验室,江苏南京211106 [2]南京航空航天大学航天学院,江苏南京211106

出　　处：《计算机工程与科学》2020年第12期2186-2192,共7页Computer Engineering & Science

基　　金：国家自然科学基金(61705104);江苏省自然科学基金(BK20170804);国防科技创新特区项目支持。

摘　　要：针对目标进、出视场和被部分遮挡情况下检测率低的问题,提出一种联合时空上下文的多运动目标检测算法STC-MMTD。首先,利用时间上下文信息,基于前后向运动历史图提取候选目标区域;然后,利用空间上下文信息和目标表观信息,通过基于稀疏编码的CRF模型计算目标置信度图;最后,计算候选目标区域的目标置信度,检测出多运动目标。实验结果表明,所提算法具有良好的检测性能,在保证较高定位精度的同时,查全率、查准率和F测度均高于其他多目标检测算法的。In order to solve the problem of low detection rate when targets enter/leave the field of view,or targets are partially occluded,a multi moving targets detection algorithm based on spatio-temporal context is proposed.Firstly,the time context information is used to extract the candidate target region,which is based on the forward and backward motion history map.Secondly,the spatial context information and the target apparent information are used to calculate the target confidence map,which is based on the sparsely encoded CRF model.Finally,the target confidence of the candidate target region is calculated to detect the multiple moving targets.The experimental results show that the proposed algorithm has good detection performance,and it has higher recall rate,precision and F measure than other multi-target detection algorithms under the condition of guaranteeing high positioning accuracy.

关 键 词：多运动目标检测 复杂背景 时空上下文 前后向运动历史图 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]