Abstract
The greatest use of vision system on UAVs has been in the areas of surveillance purposes such as civil applications. However, there is still not a robust human identification method in aerial platform because highly vibration causes unstable videos and persons temporarily out of field. Another reason is that medium altitude videos contain low resolution persons, a great deal of moving persons. Previous multi persons tracking or identification methods have often considered by key characteristics recognition such as face or human pose, specific high level invariant features. The goal of this research is to solve these problems. The algorithm would combine the temporal and spatial cue in videos with weighted region matching (WRM) method. Besides, we maintain a comprehensive exemplar database that stores the retrieved human regions with rich human annotations, which make our system utilize in more civil applications and get some statistics of individuals and groups. According to the experimental results, the proposed human blob identification method is effective in spite of the low resolution human figures. In the meanwhile, average time consuming in matching process is less than origin WRM method and enhance real-time.