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Moving Ship Detection Algorithm
Author: HuaRui
Tutor: SuYuTing
School: Tianjin University
Course: Signal and Information Processing
Keywords: Sea monitoring Sea antenna detection Moving Target Detection Hough Transform
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 102
Quote: 2
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Abstract
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Moving Ship detection target detection and tracking is an important application of direction , it is through the sea ship video for automatic analysis , the completion of the detection and tracking of moving ship , and the ship's behavior further realization of motion analysis and judgment to achieve real-time monitoring on the sea moving ship purposes. Moving Ship Detection Technology in sea traffic management , rescue boats and illegal fishing , illegal smuggling surveillance has broad application prospects. Based on the characteristics of moving ship video for both near and far two cases using different detection methods. Vision campaign against ship targets , according to its always appear in the sea area of the antenna characteristics, first determine the sea antenna area , then ship positioning projection method . Where sea antenna detection based on improved Hough transform method, and were using the maximum variance method and projection method for preprocessing . By sea antenna testing , you can narrow the scope of ship motion detection to reduce noise , improve the detection speed and accuracy. Close- moving ship video, vessels constitute a relatively large area screen , clear image . According to the characteristics of the image close- moving ship , this paper uses three difference and background subtraction method of combining with three difference method detects changes in regional , area and only change the background difference , it can guarantee the accuracy of detection and a smaller amount of computation . Experimental results show that the proposed close-range and long-term sea -based ship detection method can effectively detect moving ship targets , and less computation , has high detection efficiency.
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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