Detection and tracking method suitable for use on ship

Abstract

The invention discloses a detection and tracking method suitable for use on a ship. The method comprises the following steps: (1) using a Canny operator and combining water-front boundary contour information to extract a water-front boundary line in a case of no ship from an input video sequence; (2) extracting a motion history graph; (3) carrying out morphological processing on a water surface region in the motion history graph; and (4) reconstructing ship contour circumscribed-rectangles. According to the method, a river-front region interfering with detection is separated through extractingthe water-front boundary line, impacts of moving targets on a shore are eliminated, morphological processing is rationally applied to eliminating interference of non-moving targets on a water surface, the contour circumscribed-rectangles are combined to reconstruct and complement a motion trajectory with deficiency due to too low speed, and accurate detection and real-time tracking of the ship under a complex dock environment are realized.

Description

technical field [0001] The invention relates to the field of moving target detection, and more specifically relates to a detection and tracking method suitable for ships. Background technique [0002] Moving object detection is to extract the moving area of ​​interest in the image sequence for subsequent object tracking. At present, the existing domestic and foreign moving target detection methods used in ship detection and tracking can be divided into four categories according to the detection medium: satellite images, radar images, infrared images and video image sequences. According to the application direction, it can be divided into three categories: ship positioning, ship collision avoidance warning and ship flow monitoring. Among them, ship detection and tracking methods based on satellite images, radar images, and infrared images are relatively expensive and require professionals to operate, making it difficult to be widely used in civilian fields. Ship detection a...

AI Technical Summary

Problems solved by technology

[0003] However, most of the current ship moving target detection algorithms based on video image sequences are based on the frame difference method or background difference method of a single or static background environment, and detect moving ships through the difference between the current image and the background image. False detection occurs due to interference from moving targets on the shore

Therefore, for ship detection and tracking in complex wharf environment and complex water surface environment, the traditional difference method has been difficult to meet the actual needs, while the method based on machine learning has problems such as difficult training of ship recognition library, time-consuming, and poor versatility.

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