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Comparison of Image processing techniques for detecting human presence in an image

机译:用于检测图像中人的存在的图像处理技术的比较

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The performance analysis of Haar-like features and Histogram of Oriented Gradients suited for detecting human presence in an image is presented here. The algorithms are implemented using OpenCV on an embedded platform. The algorithms were evaluated for a dataset comprising of 2850 images. The implementation details, comparison of algorithms and results obtained are discussed in detail.
机译:这里介绍了适用于检测图像中人的存在的类似Haar的特征和定向梯度直方图的性能分析。这些算法是在嵌入式平台上使用OpenCV实现的。对包含2850张图像的数据集评估了算法。详细讨论了实现细节,算法比较和获得的结果。

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