MULTI-VIEW OBJECT DETECTION METHOD USING SHARED LOCAL FEATURES

摘要

The present invention relates to a multi-view object detection method using shared local features and, more specifically, to a multi-view object detection method using shared local features including the steps of: generating randomly N regions which have a random location and a random size in a training image with a multi-view including an object; extracting orientation center symmetric local binary patterns (OCS-LBP); learning feature vectors extracted by each N region through random forest based on a region; and selecting the region of local features.