10 datasets found

The dataset used for the MOT20 challenge, which consists of 8 different sequences depicting very crowded challenging scenes.

Pedestrian trajectory prediction is an important component in a range of applications such as social robots and self-driving vehicles, and plays a key role in understanding...

Pedestrian trajectory forecasting is a fundamental task in multiple utility areas, such as self-driving, autonomous robots, and surveillance systems. The future trajectory...

Anomaly detection and localization in crowded scenes.

A benchmark dataset for anomaly detection in crowded scenes

ProgS-RCNN: Progressive End-to-End Object Detection in Crowded Scenes

Crowded object detection via copy-paste

CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.

A benchmark for anomaly detection in crowded scenes. It contains 19600 frames captured using two different cameras.

The dataset used for pedestrian detection, occlusion and body part relevance assessment.