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首页> 外文会议>Annual IEEE International Systems Conference >A high-speed color-based object detection algorithm for quayside crane operator assistance system
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A high-speed color-based object detection algorithm for quayside crane operator assistance system

机译：岸边起重机操作员辅助系统的基于颜色的高速目标检测算法

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Improvement to user interface technology for port crane operators can lead to safer and more ergonomie environments for cargo transport. An accurate and responsive container-handling guidance system can increase productivity and reduces costs. In this work, a vision-based assistive system for quayside crane operator is developed for collision warning. The system applies a new object edge detection algorithm, called Edge Approaching, to achieve faster detection rate in real-time using a stand-alone embedded system that can be easily integrated to an existing crane interface. Experiments are conducted on a scaled testbed to validate the concept. The proposed algorithms significantly increase the detection rate from as compared to the conventional Canny edge detection and Hough transform method, while maintaining a high accuracy rate of 99%.
机译：港口起重机操作员对用户界面技术的改进可以带来更安全，更符合人体工程学的货物运输环境。准确，响应迅速的容器处理指导系统可以提高生产率并降低成本。在这项工作中，为岸边起重机操作员开发了基于视觉的辅助系统，用于碰撞警告。该系统采用一种称为“边缘逼近”的新对象边缘检测算法，以使用可轻松集成到现有起重机接口的独立嵌入式系统实时实现更快的检测率。实验在规模化的试验台上进行，以验证这一概念。与传统的Canny边缘检测和Hough变换方法相比，该算法显着提高了检测率，同时保持了99％的高精度。

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