Moving Object Detection Based on the Fish

Author:

Li Lian1,Song Jun Yi1,Yan Zhi Yang2

Affiliation:

1. Tianjin University of Technology

2. Chinese Academy of Agricultural Mechanization Sciences

Abstract

The detection and tracking of moving object is the important research of image analysis and understanding as well as in computer vision field, and have extensive application in the traffic monitoring, the military, industrial process control and medical research, but less application in the underwater monitoring of fish. In this paper, in order to be able to real-time detection of the fish in the digital video system moving target, proposed the fish moving target detection algorithm under a camera. With an improved background updating method of adaptive Gaussian mixture model, a method to detect the target fish based on Gaussian mixture model combined with edge detection operator.

Publisher

Trans Tech Publications, Ltd.

Reference7 articles.

1. Jing Xu , Ming Fang , Huamin Yang: Computer Vision Motion Detection and Tracking(Defense Industry Press, 2012).

2. Chunlian Yao, Bing Zhou: Moving Object Detection and Its Application in Video Compression and Processing (Metallurgical Industry Press, 2010).

3. Chunhui Zhao, Quan Pan, Yan Liang, Feng Yang , Yaojun Li: Moving Target Video Image Analysis (Defense Industry Press, 2011).

4. Fuqiang Liu , Hung Wang , Chunlin Song: Digital Video Image Processing and Communication (Machinery Industry Press, 2010).

5. Yongzhong Wang: The Complex Environment of Video Surveillance Target Detection and Tracking Algorithm (Northwestern Industry University, 2008).

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advanced Techniques for the Intelligent Diagnosis of Fish Diseases: A Review;Animals;2022-10-26

2. Recent advances of target tracking applications in aquaculture with emphasis on fish;Computers and Electronics in Agriculture;2022-10

3. Temporal 3D RetinaNet for fish detection;2020 Digital Image Computing: Techniques and Applications (DICTA);2020-11-29

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