Pedestrian Detection in Crowded Environments Using a Hybrid Deep Learning Model with Occlusion-Aware Attention
Pedestrian detection in crowded environments is an important computer vision problem, which has been broadly applied to intelligent transportation systems, autonomous vehicle, smart surveillance and public safety. Yet, accurate pedestrian detection in dense scenes is still difficult because of the significant occlusion...