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Real-time object entity detection system for smart surveillance application

机译:用于智能监控应用的实时对象实体检测系统

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摘要

A real-time scheme for detecting object entities in real-time among a set of objects contained in the same class category is proposed. Building a unified framework for real-time object entity detection system without an additional training process to distinguish the object entities while minimising the loss of accuracy is focused. The experimental results on a benchmark dataset demonstrate that the method shows outstanding precision performance while achieving state-of-the-art object detection speed.
机译:提出了一种实时方案,用于在相同类别类别中包含的一组对象中实时检测对象实体。建立实时对象实体检测系统的统一框架,而无需额外的训练过程来区分对象实体,同时最大程度地降低准确性损失。在基准数据集上的实验结果表明,该方法具有出色的精度性能,同时实现了最新的对象检测速度。

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