高速公路交通车辆视频数据集，用于机器学习等

=== TRAFFIC CLUSTERING DATABASE === Statistical Visual Computing Lab University of California, San Diego Antoni Chan [abchan@ucsd.edu] http://www.svcl.ucsd.edu/ -- NOTES -------------------------- This is the database of highway traffic used for video clustering in [1]. The video was taken over two days from a stationary camera overlooking I-5 in Seattle, WA. The pre-processed video used in [1] (i.e. cropped, downsized, and registered) are provided in a MATLAB file, "traffic_patches_reg.mat". In addition, the original videos are also included in the "video" directory. Note that the first frame of the original video is corrupted with another video signal, so when processing the original video you will have to start from the 2nd frame. The video is provided courtesy of Washington State Department of Transportation [http://www.wsdot.wa.gov/]. Please reference [1] if you use this database. More information about each video is provided in "info.txt". The videos were labeled manually as light, medium, and heavy traffic, which correspond respectively to free-flowing traffic, traffic at reduced speed, and stopped or very slow speed traffic. This database is a based on the traffic classification database used in [2,3]. Data from the speed-sensor located on the highway is also included in the MATLAB file "sensordata.mat", which has the following variables: sensor_speed - speed measurements sensor_timestamp - timestamp of each measurement video_class - ground-truth class for each video video_timestamp - timestamp for each video in database NOTE: Unfortunately, a precise comparison between the speed measurements and the video is not possible because the data originate from two separate systems, and the video data is not time-stamped with fine enough precision. Nonetheless, it is still possible to examine the correspondences between the speed data and the video clustering (e.g see [1]). -- FILES --------------------------- README.txt - this file ImageMaster.mat - list of videos in database traffic_patches_reg.mat - traffic patches, registered by hand video/ - original traffic videos info.txt - more information about each video sensordata.mat - speed sensor data -- LOCATION ------------------------ Source: http://www.wsdot.wa.gov/ City: Seattle, WA. Location: I-5 S 188th St. Direction: looking south Traffic: Southbound traffic Date: 08/05/2004 to 08/06/2004 Loop: 152.2 -- REFERENCES ---------------------- [1] A. B. Chan and N. Vasconcelos, "Modeling, clustering, and segmenting video with mixtures of dynamic textures" IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 30(5), pp. 909-926, May 2008. [2] A. B. Chan and N. Vasconcelos, "Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes". Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, San Diego, 2005. [3] A. B. Chan and N. Vasconcelos, "Classification and Retrieval of Traffic Video using Auto-Regressive Stochastic Processes". Proceedings of 2005 IEEE Intelligent Vehicles Symposium, Las Vegas, June 2005. VERSIONS: 04-02-2008 - initial version ================================================================================