Title :
Design and implementation of video-based detection system for wharf ship
Author :
Zhu Qiuyu ; Jiang Yilong ; Chen Bo
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
The ship detection system is designed to detect ships accurately and stably for the automatic ship management in the wharf. The paper discussed a ship target detection method and system, which includes image preprocessing and delineation of ROI; detection of moving objects based on frame difference; features extraction of targets based on edge, angular point, color information, etc.; and image classification. The experimental results show that this system has good accuracy and stability to meet the real-time processing requirements.
Keywords :
feature extraction; image classification; image processing; object detection; ships; ROI delineation; WHARF ship; angular point; automatic ship management; color information; edge targets; features extraction; frame difference; image classification; image preprocessing; moving object detection; ship detection system; ship target detection; video-based detection system; Angular Point; Computer Vision; Feature Extraction; Ship Detection;
Conference_Titel :
Smart and Sustainable City 2013 (ICSSC 2013), IET International Conference on
Conference_Location :
Shanghai
Electronic_ISBN :
978-1-84919-707-6
DOI :
10.1049/cp.2013.2028
