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Method and device for detecting vehicle occupancy using passenger's keypoint detected through image analysis for humans' status recognition

机译:利用通过图像分析检测到的乘客关键点来检测车辆占用率的方法和装置

摘要

A method for detecting a vehicle occupancy by using passenger keypoints based on analyzing an interior image of a vehicle is provided. The method includes steps of: (a) if the interior image is acquired, a vehicle occupancy detecting device (i) inputting the interior image into a feature extractor network, to generate feature tensors by applying convolution operation to the interior image, (ii) inputting the feature tensors into a keypoint heatmap & part affinity field (PAF) extractor, to generate keypoint heatmaps and PAFs, (iii) inputting the keypoint heatmaps and the PAFs into a keypoint detecting device, to extract keypoints from the keypoint heatmaps, and (iv) grouping the keypoints based on the PAFs, to detect keypoints per passengers; and (b) inputting the keypoints into a seat occupation matcher, to match the passengers with seats by referring to the inputted keypoints and preset ROIs for the seats and to detect the vehicle occupancy.
机译:提供了一种基于分析车辆的内部图像通过使用乘客关键点来检测车辆占用的方法。该方法包括以下步骤:(a)如果获取了内部图像,则车辆占用检测设备(i)将内部图像输入到特征提取器网络中,以通过对内部图像进行卷积运算来生成特征张量;(ii)将特征张量输入到关键点热图和零件相似性字段(PAF)提取器中,以生成关键点热图和PAF,(iii)将关键点热图和PAF输入到关键点检测设备中,以从关键点热图中提取关键点,并且( iv)根据PAF对关键点进行分组,以检测每位乘客的关键点; (b)将关键点输入到座位占用匹配器中,以通过参考输入的关键点和预设的座椅ROI来将乘客与座位匹配,并检测车辆的占用。

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