外文题目: Monocular Vision-Based Underwater Object Detection
作者: Chen, Zhe; Zhang, Zhen; Dai, Fengzhao; Bu, Yang; Wang, Huibin
刊名: Sensors
年: 2017 卷: 17 期: 8 文章编号：1784
英文关键词:
underwater object detection; monocular vision; region of interest; transmission estimation
TRACKING; LIGHT; RECOGNITION; SYSTEM; SONAR; WATER; SEA; NM
英文摘要:
In this paper, we propose an underwater object detection method using monocular vision sensors. In addition to commonly used visual features such as color and intensity, we investigate the potential of underwater object detection using light transmission information. The global contrast of various features is used to initially identify the region of interest (ROI), which is then filtered by the image segmentation method, producing the final underwater object detection results. We test the performance of our method with diverse underwater datasets. Samples of the datasets are acquired by a monocular camera with different qualities (such as resolution and focal length) and setups (viewing distance, viewing angle, and optical environment). It is demonstrated that our ROI detection method is necessary and can largely remove the background noise and significantly increase the accuracy of our underwater object detection method.


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.3390/s17081784


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