Invention:
This invention is a machine learning-based method that reduces the time required to sort time-lapse photo sets, allowing large datasets of thousands of time-lapse photos to be processed in a matter of days rather than months.
Background:
The use of time-lapse camera trapping is an inexpensive, unobtrusive, and relatively real-time method to estimating various metrics of change and use on the landscape, but extracting this information has proven to be costly and time consuming.
Applications:
- Time-lapse photoset sorting
- Photo recognition
- Surveillance
Advantages:
- Inexpensive
- Real-time image processing
