Open SamihaSara opened 3 years ago
Thanks for replying. I would like to mention:
1) Suppose I do not have the visible bounding box, then can I derive occlusion level with the full-body bounding box only? For example, by calculating MaxIoU ( the max IoU with other same category objects in a single image. source: https://github.com/liruilong940607/OCHumanApi)
2) If I have a visibility score and related full body bounding box, then Can I train this model to regress the visibility score when an object is inputted? I think yes, I meant taking the visibility ratio as the regression target during the training. As my goal is to input a pedestrian's full-body bounding box and estimate its occlusion level.
Thank you for your sharing!
CityPersons and CrowdHuman are two popular datasets with focus on the crowd occlusion issuse. Both of them provide visible box and full-body box annotations, thus you can derive the visibility ratio by calculating the overlaps between visible and full-body boxes: visibility ratio = Area(visible) / Area(full-body). Or you mean taking visibility ratio as the regression target during the training?