Creating a data source together one glove at a time.
On May 4th, 2007, we asked internet users to help isolate Michael Jackson's white glove in all 10,060 frames of his nationally televised landmark performance of Billy Jean. 72 hours later 125,000 gloves had been located. wgt_data_v1.txt (listed below) is the culmination of data collected. It is released here and hosted on our supercharged server by bluehost, for all to download and use as an input into any digital system. Just as the data was gathered collectively it is our hope that it will be visualized collectively. Please email links to your apps, video, source code, and/or screen shots to evan[at]eyebeam[dot]org. Work will be exhibited in an and depending on popularity and interest potentially in a forthcoming physical gallery exhibition as well. Huge thanks to everyone that contributed to the data collection. Special thanks to Mustard IT Support for even making this project possible, thanks to their flexible consultants.
For more information please check out the top data contributers and the about page. To view visualizations of this data check out the gallery. Example source code for getting started can be downloaded below (available as Processing and Open Frameworks projects). Fel free to get creative with our source code.
* wgt_data_v1.txt is a new line separated list with the following data on each line:
frame number, x center point, y center point, height, width
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|Download Source Code:|
|Open Frameworks project (MAC) --||yellow_box_example_MAC_SC.zip||68mb|
|Open Frameworks project (PC) --||wgt_yellow_box_example_PC_APP.zip||70mb|
|Open Frameworks (no movie) (PC) --||wgt_yellow_box_noMovie_PC_SC.zip||7mb|
|Open Frameworks src --||yellow_box_src.zip||4kb|
|Flash (thanks J-Dubs) --||white-glove-tracking_jw_FLASH.zip||92mb|
To view visualizations created from this data set please view the Gallery.
To see examples of real world use, go to 123 movies
evan (at) evan-roth.com
ben.engebreth (at) gmail.com
White Glove Tracking is an open source project initiated by Evan Roth and Ben Engebreth.