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Study of cluster-footprint analysis testing algorithm and system

机译:集群足迹分析测试算法与系统的研究

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The cluster-footprint left at a crime scene is one of the most common trace evidence in the field of criminal investigation. Through analyzing and calculating the plane footprint, the investigators can get some important feature information such as step size, age and height, etc. However, this way is difficult to apply to reality without any errors in the process of manual calculations. Information management is more complicated in the later, the efficiency is relatively low too. To solve above problems, a testing system is designed and developed to analyze cluster-footprint. This system is based on the LabVIEW platform, which can realize image acquisition, stride characteristics extraction, information management and so on. Actual analysis results show that this system can effectively achieve these functions, working accuracy and efficiency can meet requirements of criminal investigation process.
机译:犯罪现场留下的聚类足迹是刑事调查领域中最常见的追踪证据之一。 通过分析和计算平面足迹,调查人员可以获得一些重要的特征信息,如步长,年龄和高度等。然而,这种方式难以向现实应用,没有手动计算过程中的任何错误。 信息管理在后期更复杂,效率也相对较低。 为了解决上述问题,设计并开发了一个测试系统以分析群集足迹。 该系统基于LabVIEW平台,可以实现图像采集,步幅提取,信息管理等。 实际分析结果表明,该系统可以有效地实现这些功能,工作准确性和效率可以满足刑事调查过程的要求。

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