A Biological Hierarchical Model Based Underwater Moving Object Detection
Joint Authors
Sun, Zhen
Huang, Fengchen
Fan, Tanghuai
Tang, Min
Zhang, Qian
Shen, Jie
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Underwater moving object detection is the key for many underwater computer vision tasks, such as object recognizing, locating, and tracking.
Considering the super ability in visual sensing of the underwater habitats, the visual mechanism of aquatic animals is generally regarded as the cue for establishing bionic models which are more adaptive to the underwater environments.
However, the low accuracy rate and the absence of the prior knowledge learning limit their adaptation in underwater applications.
Aiming to solve the problems originated from the inhomogeneous lumination and the unstable background, the mechanism of the visual information sensing and processing pattern from the eye of frogs are imitated to produce a hierarchical background model for detecting underwater objects.
Firstly, the image is segmented into several subblocks.
The intensity information is extracted for establishing background model which could roughly identify the object and the background regions.
The texture feature of each pixel in the rough object region is further analyzed to generate the object contour precisely.
Experimental results demonstrate that the proposed method gives a better performance.
Compared to the traditional Gaussian background model, the completeness of the object detection is 97.92% with only 0.94% of the background region that is included in the detection results.
American Psychological Association (APA)
Shen, Jie& Fan, Tanghuai& Tang, Min& Zhang, Qian& Sun, Zhen& Huang, Fengchen. 2014. A Biological Hierarchical Model Based Underwater Moving Object Detection. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-484891
Modern Language Association (MLA)
Shen, Jie…[et al.]. A Biological Hierarchical Model Based Underwater Moving Object Detection. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-484891
American Medical Association (AMA)
Shen, Jie& Fan, Tanghuai& Tang, Min& Zhang, Qian& Sun, Zhen& Huang, Fengchen. A Biological Hierarchical Model Based Underwater Moving Object Detection. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-484891
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484891