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首页> 外文会议>2013 Seventh International Conference on Distributed Smart Cameras >Automatic cooperative camera system for real-time bag detection in visual surveillance
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Automatic cooperative camera system for real-time bag detection in visual surveillance

机译：自动协作摄像机系统，用于视觉监控中的实时行李检测

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Visual surveillance systems use more and more cameras in order to cover wider areas and reduce blind spots. Cameras placement and configuration usually depends on the area to be monitored and the size of objects in the scene. Video analytics systems also require a minimal size to get detailed features of objects or people. Most vision-based surveillance systems focus on detection and tracking of people or objects in the scene. However, it is often more meaningful to describe people with high-level information such as hair style, carrying bag or other attributes. In order to perform this detection a close view is required. In this paper, a collaborative camera pair system tackles this problem and retrieves detailed features in a wide scene following the master-slave approach. A PTZ (Pan-Tilt-Zoom) camera is defined as slave and zooms on the targets detected by the master camera with wide coverage. We introduce an automatic method to estimate the internal camera parameters in order to have an efficient control of the camera pair combined with a novel real-time bag detection algorithm. Targets are first identified in the master camera and the slave camera will zoom in to the targets to detect different types of bags. Experimental results will be shown on real-data at each step of the approach.
机译：视觉监控系统使用越来越多的摄像机以覆盖更大的区域并减少盲点。摄像机的放置和配置通常取决于要监视的区域和场景中对象的大小。视频分析系统还需要最小的尺寸才能获得物体或人物的详细功能。大多数基于视觉的监视系统都专注于检测和跟踪场景中的人或物体。但是，用高级信息（例如发型，手提袋或其他属性）来描述人们通常更有意义。为了执行此检测，需要近距离观察。在本文中，协作相机对系统解决了这个问题，并遵循主从方法在宽广的场景中检索了详细的功能。 PTZ（水平倾斜变焦）摄像机被定义为从属摄像机，并在宽范围内放大由主摄像机检测到的目标。我们引入了一种自动方法来估计内部摄像机参数，以便对摄像机对进行有效控制，并结合了新颖的实时行李检测算法。首先在主摄像机中识别目标，然后从摄像机将放大目标以检测不同类型的行李。实验结果将在该方法的每个步骤中以真实数据显示。

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