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首页> 外文会议>International Conference on Computer Vision Theory and Applications >A Method for Detecting Long Term Left Baggage based on Heat Map
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A Method for Detecting Long Term Left Baggage based on Heat Map

机译：一种基于热图检测长期左行李的方法

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摘要

In this paper we propose a method able to identify the presence of objects remaining motionless in the scene for a long time by analyzing the videos acquired by surveillance cameras. Our approach combines a background subtraction strategy with an enhanced tracking algorithm. The main contributions of this paper are the following: first, spatio-temporal information is implicitly encoded into a heat map; furthermore, differently from state of the art methodologies, the background is not updated by only evaluating the instantaneous movement of the objects, but instead by taking into account their whole history encoded in the heat map. The experimentation has been carried out over two standard datasets and the obtained results have been compared with state of the art approaches, confirming the effectiveness and the robustness of our system.
机译：在本文中，我们提出了一种能够通过分析由监控摄像机获取的视频来识别在场景中剩余动态的物体的存在的方法。我们的方法将背景减法策略与增强的跟踪算法组合。本文的主要贡献如下：首先，将时空信息隐式编码为热图;此外，根据现有技术的状态不同，通过仅通过评估对象的瞬时移动来更新背景，而是通过考虑其在热图中编码的整个历史。在两个标准数据集中进行了实验，并将获得的结果与现有技术的状态进行了比较，确认了我们系统的有效性和鲁棒性。

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