If you have ever been in a wide open landscape the most interesting thing isn't necessarily the landscape itself, but what you see coming over the horizon. Growing up in South Dakota the landscape itself can be beautiful at times, but that doesn't compare to what the sky can do, especially at night. Combine that with the landscape, and it makes for great photo opportunities. More information and stills at dakotalapse.com/2013/06/horizons/
Bear McCreary (The Walking Dead, Defiance, Battlestar Galactica, etc) once again helped me with some original music for the video. This time he suggested adding vocals to the mix. Brendan McCreary and his band (Young Beautiful in a Hurry) did just that. They came up with “I Forever” The single is available on iTunes http://tinyurl.com/pgrq45p , Amazon and other online sources.
I shot Horizons from April - October 2012 mostly in South Dakota, but also some at Devils Tower in Wyoming. From the rugged Badlands, the White River valley and the Black Hills, the horizons seem to endlessly change.
Photography and Editing – Randy Halverson
Production Assistants – River Halverson and Kelly McILhone
Color Correction - Jeff Zueger - Spectrum Films
Dynamic Perception – The Stage Zero and Stage One dollies were used in many of the shots. I can't recommend them enough for a quality product at a low price. dynamicperception.com/#oid=1005_1
Borrowlenses – Throughout the summer I got some great Canon and Zeiss lenses from Borrowlenses to use in the shoot. They have great service and every lens performed flawlessly. So if you ever want to try out a lens ,or just need one for an special shoot, give them a try! borrowlenses.com
Granite Bay Software – I try to avoid flicker in sunset or daytime timelapse while shooting. But sometimes it is unavoidable. I used GBDeflicker to smooth out the flicker in some of the sunset timelapse. granitebaysoftware.com/
Canon 5D Mark III, sometimes with a 2nd from Borrowlenses.com
Canon 5D Mark II
I used a variety of lenses, many from Borrowlenses.com
Canon 14, 16-35, 24-70, 50 F1.2, 70-200mm lenses
Zeiss 21, 25, 35mm lenses
Nikon 14-24mm with Novoflex Adapter
Available in 4K Ultra HD resolution.
Contact for licensing footage, shooting rates or anything else. My website dakotalapse.com
Now available for license in 4K and 1080P.
For stock footage requests please contact firstname.lastname@example.org
Experience the beauty of Mt. Everest at night in time-lapse. While most climbers slept, I attempted to capture some of the magic that the Himalayan skies have to offer while climbing to the top of the world.
The streets are paved with paper. This delicate animation follows the charming rise and fold of a fragile metropolis.
Captured by an unseen helicopter, the narrative unfolds through winding roads, erupting forests and emerging mountains.
Paper City grows in one fluid take, with skyscrapers rising from the page – only to crumble, wrinkle and gently crease back into the ground.
A scattered array of fifty mirror balls reflect light from three projectors, filling a room completely with small reflections, casting patterns that fill the visitor’s peripheral vision. Creating a curious space that alternates between a meditative state, and an uneasy imbalance. An experiment in combining a found object with computer vision to create a profound and unusual experience.
Created with Jonas Jongejan at CLICK Festival 2013.
Music courtesy of Four Tet, "And They All Look Broken Hearted".
User 632 is an installation that stores the behaviour of the people who look at it by monitoring them in return. It wants to know when and how a person passes by or if they stop on the way.
All data is being tracked and displayed publicly. Passersby are stored as an annonymous number without any hints to their identities. Whoever comes to close to the camera though will be stored with a photograph next to their id.
The installation is made up of three Kinect depth cameras that constantly look for movements which are then reduced to a simple directional line in space. When a visitor enteres a specific area, the algorithm is looking for a face. As soon as one is found a countdown appears that shows the time until a photo is taken automatically. At the same time the time a user is in the visible area is stored.
This data (time, path and eventually image) are stored in a database, interpreted and displayed as realtime statistics.