Template Based Object Detection & Tracking by Chamfer Matching in Real Time Video

Chamfer Matching을 이용한 실시간 템플릿 기반 개체 검출 및 추적

In this paper we describe an approach for template based detection and tracking of objects by chamfer matching in real time video. Detecting and tracking of any objects is the key problem in computer vision. In our case we try for hand and head of human for detection and tracking by chamfer matching technique. Matching involves correlating the templates with the distance transformed scene and determining the locations where the mismatch is below a certain user defined threshold.