WallFlower dataset: 用于评价背景建模算法的好坏. Ground-truth

foreground provided.

Foreground/Background segmentation and Stereo

dataset: from Microsoft Cambridge.

VISOR: Video Surveillance Online Repositiory:

大量的视频和路面实况.

3D Photography Dataset

Multi-model, multi-camera meeting room dataset

Advanced Video and Signal based Surveillance:

各种用于跟踪和检测的数据集.

Caltech image collections: 用于目标物体检测，分割和分类

INRIA

Datasets: 车辆, 人, 马, 人类行为等

CAVIAR surveillance Dataset

Videos for Head Tracking

Pedestrian dataset from MIT

Shadow

detection datasets

Flash and non-Flash dataset

Experiments on skin region detection and tracking:

包括一个ground-truthed dataset

MIT Face Dataset

MIT Car Datasets

MIT Street Scenes: CBCL StreetScenes Challenge

Framework 是一个图像、注释、软件和性能检测的对象集[cars, pedestrians, bicycles,

buildings, trees, skies, roads, sidewalks, and stores]

LabelMe Dataset: 超过150,000已经标注的照片.

MuHAVi: Multicamera Human Action Video DataA large

body of human action video data using 8 cameras. Includes manually

annotated silhouette data. 用于测试人行为的数据集

INRIA Xmas Motion Acquisition Sequences (IXMAS):

Multiview dataset for view-invariant human action

recognition.

i-LIDS datasets: UK Government benchmark

datasets for automated surveillance.

The Daimler Pedestrian Detection Benchmark:

contains 15,560 pedestrian and non-pedestrian samples (image

cut-outs) and 6744 additional full images not containing

pedestrians for bootstrapping. The test set contains more than

21,790 images with 56,492 pedestrian labels (fully visible or

partially occluded), captured from a vehicle in urban

traffic.

Stereo Pedestrian Detection Evaluation Dataset:

a dataset for evaluating pedestrian detection using stereo camera

images and video. 用于测试行人检测算法的数据集

Colour video and Thermal infrared datasets: Dataset

of videos in colour and thermal infrared. Videos are aligned

temporally and spatially. Ground-truth for object tracking is

provided.