Ship Watch-keeping Surveillance System Based On Image Processing

Navigation safety is a hot issue in all the time, for all over the world. Especially the fatigue, which is considered as one of the human elements, is identified as a major factor to the shipwrecks. The watch-keepers' operational errors caused by fatigue are the root of the most of maritime accidents. Therefore, the research on ship watch-keeping surveillance system based on image processing has important practical significance.Firstly, the management of multiple links is completed by filter graph manager in DirectShow. Furthermore the multi-channel, frame extraction and frame store are implemented. At the same time, the frame is transformed to the OpenCV format for the next step.Then the frame is processed with the skin color model and the OpenCV dynamic face detection technique. Hence the image is divided into skin and non-skin part described by binarization with YCbCr skin model, and then the initial range for further face detection is located. The OpenCV dynamic face detection is based on the Haar features. The cascade of boosted classifier based on Haar features could detect dynamic face through collection of positive/negative samples and training. It has high detection accuracy, high calculation speed and the final face location is exact in the complex background.Finally, the surveillance image is scanned. In a period, if there is no watch-keeper or the distance between two face centers has small change in approximate frames, the surveillance system will give an alarm to warn the watch-keepers immediately.The surveillance system proposed in this paper could detect whether the watch-keeper is working effectively in use of the processing for surveillance images, and the basic functions of the system are completed under the laboratory conditions. The algorithm has high detection accuracy, high calculation speed and low implement cost. However, it is worth further exploring to achieve the networking, intelligence and standardization and make the system more perfect and better real-time.