Knowledge Commons of Institute of Automation,CAS
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes | |
Chi, Cheng1,3; Zhang, Shifeng2,3; Xing, Junliang2,3; Lei, Zhen2,3; Li, Stan Z.2,3; Zou, Xudong1,3 | |
2020 | |
会议名称 | Association for the Advancement of Artificial Intelligence |
会议日期 | 2020-02 |
会议地点 | 美国纽约 |
摘要 | Pedestrian detection in crowded scenes is a challenging problem, because occlusion happens frequently among different pedestrians. In this paper, we propose an effective and efficient detection network to hunt pedestrians in crowd scenes. The proposed method, namely PedHunter, introduces strong occlusion handling ability to existing region-based detection networks without bringing extra computations in the inference stage. Specifically, we design a mask-guided module to leverage the head information to enhance the feature representation learning of the backbone network. Moreover, we develop a strict classification criterion by improving the quality of positive samples during training to eliminate common false positives of pedestrian detection in crowded scenes. Besides, we present an occlusion-simulated data augmentation to enrich the pattern and quantity of occlusion samples to improve the occlusion robustness. As a consequent, we achieve state-of-the-art results on three pedestrian detection datasets including CityPersons, Caltech-USA and CrowdHuman. To facilitate further studies on the occluded pedestrian detection in surveillance scenes, we release a new pedestrian dataset, called SUR-PED, with a total of over 162k high-quality manually labeled instances in 10k images. The proposed dataset, source codes and trained models will be released. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39043 |
专题 | 多模态人工智能系统全国重点实验室_生物识别与安全技术 |
作者单位 | 1.Aerospace Information Research Institute Chinese Academy of Sciences 2.Institute of Automation Chinese Academy of Sciences 3.University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Chi, Cheng,Zhang, Shifeng,Xing, Junliang,et al. PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes[C],2020. |
条目包含的文件 | 条目无相关文件。 |
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