Fast visual search using simplified pruning rules - streamlined active search

Object detection in an image has a lot of applications. It has been reported that color information has advantages in detecting objects. In this paper, a high-speed visual search strategy using color histograms by introducing simplified pruning rules and global pruning is proposed. Experimental results show that the proposed method outperforms traditional methods.