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- 2016
基于稀疏多尺度分割和级联形变模型的行人检测算法
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Abstract:
行人检测是视频大数据中提取信息的关键技术之一，是视频大数据挖掘的关键环节。提出了一种基于稀疏多尺度分割和级联形变模型的行人检测算法。首先设计基于图像纹理的稀疏多尺度分割算法提取潜在行人区域，完成初级多尺度检测；同时缩小检测范围，剔除大量背景区域；再基于级联形变模型在候选特征区域进行精细检测，最终实现由粗到细的快速行人检测。在TUD-Crossing和TUD-Pedestrian等公开数据集上对算法进行了测试。实验结果表明，本文算法降低了虚警率，提升了检测速度
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