Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Object Detection in Image with Complex Background

Authors
Li Dong, Li Yali, He Fei, Wang Shengjin
Corresponding Author
Li Dong
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.58How to use a DOI?
Keywords
Object detection • Ship detection • Video surveillance • Complex Background
Abstract
Object detection is the key technology in computer vision, with broad application prospects. Object detection has great research value and practical significance as a hot spot of video surveillance in recent years. This paper proposes an algorithm for ship detection in image with complex harbor background. We test the performance of several texture descriptors, and a region growing method based on contrast texture feature is proposed to implement sea-land separation. Then, we apply a method combined with adaptive threshold segmentation and shape analysis for offshore ship detection. Furthermore, the salient boundary template matching in the sea-land border area is used for docked ship detection. The experimental results show that our algorithm is able to implement ship object detection in complex image with good robustness and real-time performance.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.58How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Dong
AU  - Li Yali
AU  - He Fei
AU  - Wang Shengjin
PY  - 2013/11
DA  - 2013/11
TI  - Object Detection in Image with Complex Background
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.58
DO  - https://doi.org/10.2991/icmt-13.2013.58
ID  - Dong2013/11
ER  -