DocumentCode :
2547619
Title :
Speedy Detection Algorithm of Underwater Moving Targets Based on Image Sequence
Author :
Zhang Fa-quan ; Zhang Yong ; Lu Li-Ping ; Jiang Li-ying ; Cui Guang-zhao
Author_Institution :
Coll. of Electr. & Electron. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou
Volume :
2
fYear :
2009
fDate :
22-24 Jan. 2009
Firstpage :
230
Lastpage :
233
Abstract :
A real-time algorithm is presented to detect moving targets in underwater complex environment. The difference image is obtained by subtraction operation in frames of image sequence. An appropriate threshold is selected and the binary image of the difference image is obtained. Every part of the binary image is segmented into one single image by image segment algorithm. A definition of linear level is given based on the shape of objects formed by motion of targets in the difference image. The actual sizes of the original moving targets are inferred from linear level and area of the formed objects. The function of real-time detecting underwater moving targets is implemented using this algorithm. The algorithm has been used in underwater intelligent monitoring system in some large international games and meets the requirement of real-time. In practice, it is proved a fast and stable algorithm.
Keywords :
image motion analysis; image segmentation; image sequences; object detection; difference image; image segmentation; image sequence; image thresholding; linear level; moving target detection; object shape; real-time algorithm; speedy detection algorithm; underwater complex environment; underwater moving target; Detection algorithms; Image analysis; Image processing; Image segmentation; Image sequence analysis; Image sequences; Intelligent systems; Monitoring; Shape; Underwater tracking; image processing; image segmentation; image sequence; linear level; underwater moving targets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
Type :
conf
DOI :
10.1109/ICCET.2009.45
Filename :
4769594
Link To Document :
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