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.

北航数字媒体:面向室外视频监控的运动目标检测跟踪库

google结果： http://www.cvpapers.com/datasets.html
http://riemenschneider.hayko.at/vision/dataset/
http://homepages.inf.ed.ac.uk/cgi/rbf/CVONLINE/entries.pl?TAG363
http://www.computervisiononline.com/datasets

from：http://hi.baidu.com/56908268/blog/item/4f9fc51b4e662ff6af51338a.html
by：qiouyin
from: http://blog.csdn.net/lucky_greenegg/article/details/10241295

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