NDLI: Automatic underwater moving object detection using multi-feature integration framework in complex backgrounds

Content Provider	IET Digital Library
Author	Vasamsetti, Srikanth Setia, Supriya Mittal, Neerja Sardana, Harish K. Babbar, Geetanjali
Abstract	Moving object detection in a video sequence is one of the leading tasks of marine scientists to explore and monitor applications. The videos acquired in the underwater environment are usually degraded due to the physical properties of water medium as compared with images acquired in the air and that affects the performance of feature descriptors. In this study, a new feature descriptor, multi-frame triplet pattern (MFTP) is proposed for underwater moving object detection. The MFTP encodes the structure of local region based on three sets of frames, which are calculated by considering local differences in intensities between the centre pixel and its nine neighbours. Furthermore, the robustness of the proposed method is increased by integrating it with colour and motion features. The performance of the proposed framework is tested by conducting seven experiments on Fish4Knowledge database for underwater moving object detection applications. The results of the proposed method show a significant improvement as compared with state-of-the-art techniques in terms of their evaluation measures.
Starting Page	770
Ending Page	778
Page Count	9
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 6, Sep (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0013
Journal	IET Computer Vision
Publisher Date	2018-03-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Colour Complex Backgrounds Computer Vision And Image Processing Technique Feature Descriptor Feature Extraction Image Motion Analysis Image Segmentation Image Sequence Integration Framework Leading Task Marine Scientists MFTP Motion Feature Multiframe Triplet Pattern Object Detection Object Detection Application Optical, Image And Video Signal Processing Underwater Environment Video Sequence Video Signal Processing Videos
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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