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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >Partial Occlusion Handling in Pedestrian Detection With a Deep Model
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Partial Occlusion Handling in Pedestrian Detection With a Deep Model

机译：深度模型在行人检测中的部分遮挡处理

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摘要

Part-based models have demonstrated their merit in object detection. However, there is a key issue to be solved on how to integrate the inaccurate scores of part detectors when there are occlusions, abnormal deformations, appearances, or illuminations. To handle the imperfection of part detectors, this paper presents a probabilistic pedestrian detection framework. In this framework, a deformable part-based model is used to obtain the scores of part detectors and the visibilities of parts are modeled as hidden variables. Once the occluded parts are identified, their effects are properly removed from the final detection score. Unlike previous occlusion handling approaches that assumed independence among the visibility probabilities of parts or manually defined rules for the visibility relationship, a deep model is proposed in this paper for learning the visibility relationship among overlapping parts at multiple layers. The proposed approach can be viewed as a general postprocessing of part-detection results and can take detection scores of existing part-based models as input. The experimental results on three public datasets (Caltech, ETH, and Daimler) and a new CUHK occlusion dataset (http://www.ee.cuhk.edu.hk/~xgwang/CUHK_pedestrian.html), which is specially designed for the evaluation of occlusion handling approaches, show the effectiveness of the proposed approach.
机译：基于零件的模型已经证明了它们在对象检测中的优点。但是，在存在遮挡，异常变形，外观或照明的情况下，如何对零件检测器的不准确分数进行积分有待解决的关键问题。为了解决零件检测器的缺陷，本文提出了一种概率行人检测框架。在此框架中，使用基于零件的可变形模型获取零件检测器的分数，并将零件的可见性建模为隐藏变量。一旦确定了被遮挡的部分，便会从最终的检测分数中正确消除其影响。与以前的闭塞处理方法假定零件的可见性概率之间是独立的，或者手动定义可见性关系的规则不同，本文提出了一种深度模型来学习多层重叠零件之间的可见性关系。所提出的方法可以看作是零件检测结果的一般后处理，并且可以将现有基于零件的模型的检测分数作为输入。针对三个公共数据集（Caltech，ETH和戴姆勒）和一个新的中大遮挡数据集（http://www.ee.cuhk.edu.hk/~xgwang/CUHK_pedestrian.html）的实验结果。遮挡处理方法的评估显示了该方法的有效性。

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