Title :
Internal-to-internal transition method for consecutive hierarchical template matching
Author_Institution :
Dept. of Automotive Eng., Hanyang Univ., Seoul, South Korea
Abstract :
This study proposes a method reducing the tree traversal cost by first investigating the most probable node instead of the root node when a hierarchical template matching is consecutively applied to the object. In particular, this study gives a novel viewpoint that a consecutive hierarchical template matching could be regarded as a transition of a hierarchical finite state machine, and then it proposes a novel method considering the transitions between the internal nodes of the hierarchical template tree. The proposed method is verified by applying it to pedestrian silhouette detection.
Keywords :
finite state machines; image matching; object detection; pedestrians; trees (mathematics); consecutive hierarchical template matching; hierarchical finite state machine; hierarchical template tree internal nodes; internal-to-internal transition method; pedestrian silhouette detection; probable node; tree traversal cost reduction;
Journal_Title :
Computer Vision, IET
DOI :
10.1049/iet-cvi.2013.0125