大连理工大学学报Issue(6)：632-636,5.DOI:10.7511/dllgxb201406006
基于目标检测和图割的多目标跟踪算法
Multi-target tracking algorithm based on object detection and graph cuts
摘要
Abstract
Tracking of multiple targets is a challenging problem in intelligence video surveillance.A novel multi-target tracking algorithm based on moving objects detection and graph cuts is proposed. Firstly,moving objects are detected by modeling the background using codebook model.Then,the energy function is established,making each label correspond to one object.The problem of multi-target tracking is transformed into a combinatorial optimization of energy minimization.Finally,a network is constructed and the optimized result is gained by the max-flow min-cuts algorithm. Experimental results show that the proposed algorithm can deal with the entrance of new object and the exit of existing one in the scene,and it has nice robustness to the occlusion between multiple objects.关键词
多目标跟踪/图割/能量函数/网络流/码本Key words
multi-target tracking/graph cuts/energy function/network flow/codebook分类
信息技术与安全科学引用本文复制引用
姜明新,王洪玉,邱天爽..基于目标检测和图割的多目标跟踪算法[J].大连理工大学学报,2014,(6):632-636,5.基金项目
国家自然科学基金资助项目(61403060) （61403060）
中国博士后科学基金资助项目(2014M551081) （2014M551081）
大连民族学院人才引进项目(20136212) （20136212）
