Automatic Localization and Tracking of Moving Objects Using Adaptive Snake Algorithm
- Title
- Automatic Localization and Tracking of Moving Objects Using Adaptive Snake Algorithm
- Author
- 문영식
- Issue Date
- 2003-12
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- Fourth International Conference on Information, Communications and Signal Processing, 2003 and the Fourth Pacific Rim Conference on Multimedia. Proceedings of the 2003 Joint, v. 2, page. 729-233
- Abstract
- In this paper, we propose an algorithm for automatic
localization and tracking of moving objects using adaptive
snake model. The proposed algorithm is composed of three
main steps. In the first step, moving objects are
automatically localized by using global motion
estimatiodcompensation and difference image. In the
second step, an adaptive snake algorithm is proposed in
order to extract the exact object shape. The snake energy
function adaptively changes according to the perpendicular
minimum distance. In the final step, the object tracking is
performed by using the initial template and the motion
vectors.
Experimental results show that the proposed algorithm
can automatically extract multiple moving objects without
any user-assisted initialization. It can also segment and
track the objects more accurately than other existing
algorithms.
- URI
- https://ieeexplore.ieee.org/document/1292552?arnumber=1292552&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/156682
- ISBN
- 0-7803-8185-8; 978-0-7803-8185-8
- DOI
- 10.1109/ICICS.2003.1292552
- Appears in Collections:
- ETC[S] > 연구정보
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