The CSULB Shark Lab is involved in several projects. Amongst them, an attempt to uniquely identify sharks off our local coasts. Previously, the sharks were being identified from continuous GoPro footage by students reviewing hours of activity at a time and then sketching the sharks that their underwater cameras captured. With the RUV Image Processor application, a member of the Shark Lab can upload a video from the GoPro memory and in just a few minutes have access to the specific parts of the video that the system suspects will have a frame of interest along with text data about the proposed sighting.
This application replaces the time consuming manual shark recognition tradition to the modern computer based recognition system. Now that this software has already been working, the traditional tedious way of watching every second of video and carefully reading the details of the shark is no longer required. Now, this application does everything from processing to reporting which is very effective, and at the same time this application is very efficient. Also, from the economic point of view it takes less manpower to get this shark recognition job done.
The application was written for machines running Windows (64).
Please check out the links above to learn about implementing the RUV software.