This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Video Projection Mapping Photogrammetry through Video Tracking
Technical Paper
2013-01-0788
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper examines a method for generating a scaled three-dimensional computer model of an accident scene from video footage. This method, which combines the previously published methods of video tracking and camera projection, includes automated mapping of physical evidence through rectification of each frame. Video Tracking is a photogrammetric technique for obtaining three-dimensional data from a scene using video and was described in a 2004 publication titled, “A Video Tracking Photogrammetry Technique to Survey Roadways for Accident Reconstruction” (SAE 2004-01-1221). That paper described a method for generating a three-dimensional computer model of a roadway by using video of a drive-through of an accident scene and processing this video footage through available video tracking software.1,2 The benefit of being able to drive through an accident scene to collect data lies in the speed of such a method, but also in safety, as some accident areas are too heavy with traffic, dangerous or otherwise inaccessible. Three-dimensional Camera Projection Mapping is a computer visualization technique of wrapping or mapping video or photographs onto three-dimensional geometry and adjusting the size and shape of the map so it follows the size and shape of the target objects. This rectification process results in a photo-realistic computer model that is accurate in detail, lighting and scale since it is built directly from the photograph. The result of adding the technology of video tracking with three-dimensional camera projection mapping is a scaled computer model of the accident scene that includes photographs of the evidence mapped onto the geometry at the correct scale and location - all from a single video drive-through. Developing both of these concepts into one method of Video Projection Mapping combines the ease of building a three-dimensional accident diagram from a video drive-through, with the accuracy and clarity of analyzing scaled photographic data.
Topic
Citation
Neale, W., Marr, J., and Hessel, D., "Video Projection Mapping Photogrammetry through Video Tracking," SAE Technical Paper 2013-01-0788, 2013, https://doi.org/10.4271/2013-01-0788.Also In
References
- Video Tracking Software Boujou v.5.0, 2D3 Ltd, USA, Lake Forest, CA PFTtrack v. 2012.3, The Pixel Farm Ltd, UK, Marden Kent NukeX v.6.8, The Foundry Visionmongers Ltd, UK, London SynthEyes v.1208, Andersson Technologies LLC, USA, Philadelphia PA
- Neale , W. , Fenton , S. , McFadden , S. , and Rose , N. A Video Tracking Photogrammetry Technique to Survey Roadways for Accident Reconstruction SAE Technical Paper 2004-01-1221 2004 10.4271/2004-01-1221
- Pepe , M. , Grayson , E. , and McClary , A. Digital Rectification of Reconstruction Photographs SAE Technical Paper 961049 1996 10.4271/961049
- Cliff , W. , Maclnnis , D. , and Switzer , D. An Evaluation of Rectified Bitmap 2D Photogrammetry with PC-Rect SAE Technical Paper 970952 1997 10.4271/970952
- Fenton , S. , Neale , W. , Rose , N. , and Hughes , C. Determining Crash Data Using Camera Matching Photogrammetric Technique SAE Technical Paper 2001-01-3313 2001 10.4271/2001-01-3313
- Rucoba , R. , Duran , A. , Carr , L. , and Erdeljac , D. A Three-Dimensional Crush Measurement Methodology using Two-Dimensional Photographs SAE Technical Paper 2008-01-0163 2008 10.4271/2008-01-0163
- Callahan , M. , LeBlanc , B. , Vreeland , R. , and Bretting , G. Close-Range Photogrammetry with Laser Scan Point Clouds SAE Technical Paper 2012-01-0607 2012 10.4271/2012-01-0607
- Adobe After Effects, Adobe Premiere, Final Cut Pro Sony Vegas, Avid Systems
- Neale , W. , Hessel , D. , and Terpstra , T. Photogrammetric Measurement Error Associated with Lens Distortion SAE Technical Paper 2011-01-0286 2011 10.4271/2011-01-0286
- Daily , John , Shigemura , Nathan , Daily , Jeremy Fundamentals of Traffic Crash Reconstruction IPTM 2006