Web: http://arxiv.org/abs/2206.07510

June 16, 2022, 1:13 a.m. | Arindam Das, Sudip Das, Ganesh Sistu, Jonathan Horgan, Ujjwal Bhattacharya, Edward Jones, Martin Glavin, Ciarán Eising

cs.CV updates on arXiv.org arxiv.org

Most of the existing works on pedestrian pose estimation do not consider
estimating the pose of an occluded pedestrians, as the annotations of the
occluded parts are not available in relevant automotive datasets. For example,
CityPersons, a well-known dataset for pedestrian detection in automotive scenes
does not provide pose annotations, whereas MS-COCO, a non-automotive dataset,
contains human pose estimation. In this work, we propose a multi-task framework
to extract pedestrian features through detection and instance segmentation
tasks performed separately on …

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