To improve the accuracy rate of vision-based passenger flow estimation system by using stereo, a novel method based on regional disparity extraction to detect passengers head was presented.
为了利用立体视觉技术提升视觉客流统计系统的准确率，提出一种基于区域视差提取的单、双目处理技术相结合的行人头顶部检测新方法。
Aimed at the presence of large occluded regions in stereo image pairs obtained from stereo camera pairs, an algorithm which can detect occluded boundary areas based on reliability map is proposed.
针对平行结构立体摄像机存在较大的遮挡边界区域问题，本文提出了一种基于可信图的遮挡边界检测算法。
To improve the accuracy rate of vision-based passenger flow estimation system by using stereo, a novel method based on regional disparity extraction to detect passengers head was presented.
为了利用深度信息提升视觉客流统计系统的准确率，提出了一种基于轮廓匹配的头顶部视差获取方法。
To improve the accuracy rate of vision-based passenger flow estimation system by using stereo, a novel method based on regional disparity extraction to detect passengers head was presented.
为了利用深度信息提升视觉客流统计系统的准确率，提出了一种基于轮廓匹配的头顶部视差获取方法。
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