Monthly Archives: February 2018
This work will be presented at IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2018.
Detecting individual pedestrians in a crowd remains a challenging problem since the pedestrians often gather together and occlude each other in real-world scenarios. In this paper, we first explore how a state-of-the-art pedestrian detector is harmed by crowd occlusion via experimentation, providing insights into the crowd occlusion problem. Then, we propose a novel bounding box […]