This week, I accomplished the following tasks:
- Worked for a bit on the design review presentation delivery, since I generally struggle with presentations, so it took longer than I thought, but necessary in my opinion.
- Made a working implementation of a background subtraction algorithm and a framework where we can test various background subtraction algorithms on a pre-recorded video. I tested a couple to see what they looked like myself. Images below are pictures of people moving across the camera. I tested 2 algorithms, MOG2 and KNN, documentation for which I found online.
Test for KNN. Multiple people in frame 
- Test for MOG2. One person
- Besides the algorithms above, I also tried to extract the data from the grayscale images to see if I could record how many people were in the frame, but I’ve not managed that yet. (Deliverable for next week)
In total I worked on capstone this week for about 11-12 hours, but for sake of overestimation of time I’ll claim 11 hours this week.
In terms of schedule, I feel like I’m finally on track because I’d said that I’d have a background subtraction program working and it is done as of now. For next week I plan on having an implementation where I can have a live video instead of a pre-recorded one, as well as extract information from the data that I get from openCV (eg: Number of people in frame)