WallFlower dataset: 用于評價背景建模算法的好壞. Ground-truth foreground provided.?
Foreground/Background segmentation and Stereo dataset: from Microsoft Cambridge.?
VISOR: Video Surveillance Online Repositiory: 大量的視頻和路面實況.?
3D Photography Dataset?
Multi-model, multi-camera meeting room dataset?
Advanced Video and Signal based Surveillance: 各種用于跟蹤和檢測的數據集.?
Caltech image collections: 用于目標物體檢測，分割和分類
INRIA Datasets: 車輛, 人, 馬, 人類行為等?
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: 包括一個ground-truthed dataset?
MIT Face Dataset?
MIT Car Datasets?
MIT Street Scenes: CBCL StreetScenes Challenge Framework 是一個圖像、注釋、軟件和性能檢測的對象集[cars, pedestrians, bicycles, buildings, trees, skies, roads, sidewalks, and stores]?
LabelMe Dataset: 超過150,000已經標注的照片.?
MuHAVi: Multicamera Human Action Video DataA large body of human action video data using 8 cameras. Includes manually annotated silhouette data. 用于測試人行為的數據集
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. 用于測試行人檢測算法的數據集
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.

北航數字媒體:面向室外視頻監控的運動目標檢測跟蹤庫

google結果： 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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