Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2020-06-01 000000m 14:59:22 - Overview

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Name (Institute + Shorttitle)Edinburgh Ceilidh Overhead Video Data 
Description (include details on usage, files and paper references)This web page contains video data and ground truth for 16 dances with two different dance patterns. The style of dancing is inspired by Scottish Ceilidh dancing, but the dances shown here are original patterns inspired by two chemical processes. This data was recorded March 7, 2016 at the School of Informatics, University of Edinburgh, as organized by Lewis Hou (Science Ceilidh) and Robert Fisher, and with high resolution filmed by Robin Mair. The dancers were volunteers from the Science Ceilidh and the New Scotland Scottish Country Dance Society and the filming was funded by the Royal Society of Chemistry.

This dataset is interesting because there are very few video analysis datasets where there is highly structured behavior. In this case, the basic moves of all of the dancers are prescribed; however, the timing and positioning can vary by dancer, time and instance of the dance.

The data is acquired using a ceiling camera as a set of 640x480 frames captured at about an average of 8 FPS. Typical frames from the two dances are shown here, along an annotation of the dancers and a background frame where no dancers are in the performance area. 
URL Link 
Files (#)16 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)video dance chemistry pattern background motion analysis action 
Last Changed2020-06-01 
Turing (2.12+3.25=?) :-)