14 datasets found

CityPersons and CrowdHuman are two benchmark datasets for pedestrian detection. CityPersons contains 35k person and 13k ignore region annotations, while CrowdHuman contains 340k...

Pedestrian detection in top-view fisheye images using composite images of perspective views

Pedestrian detection in top-view fisheye images using composite images of perspective views

Pedestrian detection in top-view fisheye images using composite images of perspective views

Pedestrian detection: An evaluation of the state of the art.

KAIST Multispectral Dataset is a multispectral dataset for pedestrian detection.

Image fusion aims to combine information from different source images to create a comprehensively representative image. Existing fusion methods are typically helpless in dealing...

Multi-Camera Multi-Object Tracking (MC-MOT) dataset for reconfigurable spatial-temporal graph model

The Caltech Pedestrian Dataset contains pedestrian images taken at a busy street in Pasadena, California.

Pedestrian detection plays an important role in many applications such as autonomous driving. We propose a method that explores semantic segmentation results as self-attention...

TUD-Brussels pedestrian dataset

ETH pedestrian dataset

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.