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Real-time object detection and tracking

机译:实时物体检测和跟踪

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摘要

Real-time object detection and tracking is a vast, vibrant yet inconclusive and complex area of computer vision. Due to its increased utilization in surveillance, tracking system used in security and many others applications have propelled researchers to continuously devise more efficient and competitive algorithms. However, problems emerge in implementing object detection and tracking in real-time; such as tracking under dynamic environment, expensive computation to fit the real-time performance, or multi-camera multi-objects tracking make this task strenuously difficult. Though, many methods and techniques have been developed, but in this literature review we have discussed some famous and basic methods of object detection and tracking. In the end we have also given their general applications and results.
机译:实时对象检测和跟踪是计算机视觉的一个广阔,充满活力但不确定的复杂领域。由于其在监视中的利用率不断提高,安全性和许多其他应用程序中使用的跟踪系统已促使研究人员不断设计出更高效,更具竞争力的算法。但是,在实时实施目标检测和跟踪时会出现问题。例如在动态环境下进行跟踪,昂贵的计算以适应实时性能,或者多摄像机多对象跟踪使此任务非常困难。虽然已经开发了许多方法和技术,但是在这篇文献综述中,我们讨论了一些著名的基本的对象检测和跟踪方法。最后,我们还给出了它们的一般应用和结果。

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