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Performance evaluation of object detection techniques for object detection

机译:用于物体检测的物体检测技术的性能评估

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Object detection plays vital role in image processing for finding the objects of interest Increase of image size and complexity has thrust for developing novel and robust object detection techniques. There are number of methods existing for detecting the objects in a particular scene. The focus of this paper is estimate the performance and efficiency of some existing object detection algorithms on the sampled images. Thus may give good initiative about the suitability of those algorithms on the images. Three existing algorithms are implemented for various images and compared under variety of situations to find which detector is robust under different conditions.
机译:物体检测在图像处理中寻找感兴趣的物体起着至关重要的作用。图像尺寸和复杂性的增加促使人们开发出新颖而强大的物体检测技术。存在许多用于检测特定场景中的对象的方法。本文的重点是估计一些现有的目标检测算法在采样图像上的性能和效率。从而可以很好地主动考虑这些算法在图像上的适用性。针对各种图像实施了三种现有算法,并在各种情况下进行了比较,以发现哪个检测器在不同条件下具有鲁棒性。

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