TY  - JOUR
T1  - Object Detection and Tracking Scheme Based on SURF and Difference Image
AU - Chul Park, Dong- 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 14
SP  - 3682
EP  - 3686
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.3682.3686
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.3682.3686
KW  - Object detection
KW  -tracking
KW  -SURF
KW  -interest points
KW  -difference image
AB  - An efficient scheme for object detection and tracking under a fixed camera environment with SURF
(Speeded Up Robust Feature) algorithm and the difference image method is proposed in this study. Since, SURF
provides local feature descriptors robust on scale, rotation and illumination changes, SURF algorithm is
adopted for its advantages over SIFT (Scale Invariant Feature Transform) algorithm. In order to improve the
speed and accuracy in detecting and tracking objects, the proposed algorithm combines SURF algorithm and
the difference image method. Experiments on two video data sets imply that the proposed method can be an
alternative to conventional methods because of the improvements in terms of the speed of operation and the
tracking accuracy over conventional methods.
ER  -