改进的HOG行人检测算法及手机实现
发布时间：2018-07-27 20:53
【摘要】：行人检测是目标检测的典型应用。文章针对经典的方向梯度直方图(HOG)行人检测算法,改进了其特征描述子的结构表示,使算法的时间复杂度显著下降,可以满足实时检测的要求。同时,文章在Android手机上编程实现了该改进的算法,检测性能较好,适用于行人检测的实际应用。
[Abstract]:Pedestrian detection is a typical application of target detection. Aiming at the classical directional gradient histogram (HOG) pedestrian detection algorithm, the structure representation of the feature descriptor is improved, and the time complexity of the algorithm is significantly reduced, which can meet the requirements of real-time detection. At the same time, the improved algorithm is programmed on the Android mobile phone, and the detection performance is good, which is suitable for the practical application of pedestrian detection.
【作者单位】： 解放军理工大学通信工程学院研究生1队;中国人民解放军61655部队;解放军理工大学通信工程学院;
【基金】：国家自然科学基金资助项目(61501509)
【分类号】：TP391.41
本文编号：2149105
[Abstract]:Pedestrian detection is a typical application of target detection. Aiming at the classical directional gradient histogram (HOG) pedestrian detection algorithm, the structure representation of the feature descriptor is improved, and the time complexity of the algorithm is significantly reduced, which can meet the requirements of real-time detection. At the same time, the improved algorithm is programmed on the Android mobile phone, and the detection performance is good, which is suitable for the practical application of pedestrian detection.
【作者单位】： 解放军理工大学通信工程学院研究生1队;中国人民解放军61655部队;解放军理工大学通信工程学院;
【基金】：国家自然科学基金资助项目(61501509)
【分类号】：TP391.41
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