Pedestrian Attribute Classification in Surveillance: Database and Evaluation

  title={Pedestrian Attribute Classification in Surveillance: Database and Evaluation},
  author={Jianqing Zhu and Shengcai Liao and Zhen Lei and Dong Yi and Stan Z. Li},
  journal={2013 IEEE International Conference on Computer Vision Workshops},
Attributes are helpful to infer high-level semantic knowledge of pedestrians, thus improving the performance of pedestrian tracking, retrieval, re-identification, etc. However, current pedestrian databases are mainly for the pedestrian detection or tracking application, and semantic attribute annotations related to pedestrians are rarely provided. In this paper, we construct an Attributed Pedestrians in Surveillance (APiS) database with various scenes. The APiS 1.0 database includes 3661 images… CONTINUE READING
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