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首页> 外文会议>2014 International Symposium on Optomechatronic Technologies >Automatic Safety Video Surveillance-Tracking System to Avoid Vehicle-Workers Interaction for Mining Applications
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Automatic Safety Video Surveillance-Tracking System to Avoid Vehicle-Workers Interaction for Mining Applications

机译：自动安全视频监视跟踪系统，可避免采矿工人在采矿过程中与工人之间的互动

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摘要

Activities developed under hazardous conditions, such as mining, require an active investment from the industry to avoid serious injuries and even loss of lives. One of the safety measures taken to address this problem is to implement a video surveillance system able to track vehicles and workers to enforce safety protocols preventing dangerous events that could lead to accidents. In this paper, we propose an intelligent video surveillance system able to detect and predict possible dangerous interactions between workers and vehicles operating on a monitored environment. Our system is able to analyze video information from one or several cameras, detects and tracks objects and emits an alarm that warns the operator on possible safety hazards. A multiclass object detection is trained to detect vehicles and people. The system object detection stage was implemented in CUDA for parallel processing to achieve real time operation. A multitracking system was implemented to track detected objects that move from one camera field of view to a neighbor camera field of view. Experiments on a monitored parking space show that our proposed system yields good performance in tracking people and vehicles, detecting close interaction and generating relevant alarms.
机译：在诸如采矿之类的危险条件下开展的活动需要行业积极投资，以避免严重伤害甚至生命损失。解决此问题的安全措施之一是实施视频监视系统，该系统能够跟踪车辆和工人以执行安全协议，以防止可能导致事故的危险事件发生。在本文中，我们提出了一种智能视频监控系统，该系统能够检测和预测在受监控环境下工作的工人与车辆之间可能存在的危险相互作用。我们的系统能够分析一台或多台摄像机的视频信息，检测并跟踪物体，并发出警报，警告操作员可能存在的安全隐患。训练了多类对象检测以检测车辆和人员。在CUDA中实现了系统对象检测阶段，以进行并行处理以实现实时操作。实施了多跟踪系统以跟踪从一个摄像机视场移动到相邻摄像机视场的检测对象。在受监控的停车位上进行的实验表明，我们提出的系统在跟踪人员和车辆，检测到紧密的互动并生成相关警报方面表现出良好的性能。

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