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首页> 外文会议>IEEE International Conference on Advanced Video and Signal Based Surveillance >Active video analytics one leap ahead applicability and entering new dimensions
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Active video analytics one leap ahead applicability and entering new dimensions

机译：活动视频分析一个飞跃前进和进入新尺寸

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摘要

How to overcome the gap between people's expectation on capabilities of video surveillance systems and perceived performance? One solution is to focus on specific, well defined and tailored problems as well as well-defined operational conditions. But how to restrict the reality? While some specific problems are generally addressed and broadly covered within the community and thereby partially solved at least, general performance for unrestricted environments is still difficult to obtain. Thus we see the need to seek for general applicability in order to enable new application domains. We propose a paradigm shift from fully pre-configured solutions towards solutions that learn and adapt on-the-job autonomously and/or being interactive by responding to operator feedback in real-time. In that way such systems are error-tolerant and responsive and ease end users expectation by improving in performance over time. Following that mindset we will present some selected research topics we are currently working on. In addition we will briefly present undergoing work to leverage two relatively novel paradigms in the field of video analytics, namely data acquisition by a moving camera (e.g. Micro Arial Vehicles -MAV) and 3D+t data reconstruction in conjunction with change detection.
机译：如何克服人们期望对视频监控系统的能力和感知性能之间的差距？一种解决方案是专注于具体，定义和定制的问题以及定义明确的操作条件。但如何限制现实？虽然通常在社区内覆盖并广泛地解决了一些具体问题，从而至少部分解决了，仍然难以获得难以获得的环境的普遍表现。因此，我们看到需要寻求一般适用性，以便启用新的应用领域。我们提出了从完全预先配置的解决方案的范例转移，以便通过实时响应运营商反馈来自主地和/或正在自主地和/或正在进行的解决方案的解决方案转变。以这种方式，这种系统是耐堵塞和响应性，并且通过随着时间的推移改善性能来提高性能来实现最终用户的期望。在此之后，我们将提出我们目前正在努力的一些选定的研究主题。此外，我们将简要介绍在视频分析领域中利用两个相对新颖的范例的工作，即通过移动摄像机（例如微岛车辆-mav）和3D + T数据重建的数据采集以及改变检测。

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