Testbed Videos
Several technical studies have been undertaken in the OGC Innovation Programme and their results published online. These demonstrate successful application of WebVMT to real-world problems and help to ensure alignment of its web-based design with geospatial standards such as OGC GeoPose and Moving Features. Focus has shifted from 'where we are' to 'where we are looking' and the scope has widened to include sensors and data aggregation, while maintaining a simple accessible approach.
Testbed-19
Synchronization
Roadside video footage was recorded with WebVMT to analyse traffic movement and identify wrong-way vehicles from geotagged video in a web browser.
- Vehicle paths were tracked using roadside cameras
- Videos from separate cameras were accurately synchronized
- Vehicles travelling in the wrong direction were identified
- Vehicle speeds were calculated at 1km range as forensic evidence
Testbed-17
Tracking
Video and LiDAR data from Ordnance Survey's self-driving research vehicle were used to track nearby moving objects, including a cyclist, with WebVMT in a web browser.
- Vehicle LiDAR detections were transformed into world co-ordinates
- Detections were classified as moving or stationary
- Moving detections were associated into tracks
- Speed and distance were calculated for each track
Testbed-16
Accessibility
Location data embedded within video files were exported to WebVMT to simplify user access and quickly visualize data to help guide analysis.
- Geotagged video was displayed in a web browser
- Location data were shared in a common text-based format to enable web access
- Web technologies and map data were integrated with video using HTML
- Location data were decoupled from video encoding to reduce access overheads