Weekly Status Report 02/23
Name: Kevan Dodhia
- What did you personally accomplish this week on the project?
This week I implemented a facial detection algorithm that uses openCV’s pre-trained Haar Cascades. While it is not working completely yet (there are some bugs), the code is able to correctly read the Haar Cascade XML file provided by openCV, pre-process the images and calculate the integral image (and sum regions).
I also spent a decent amount of time researching possible approaches for the raised-hand detection in preparation for the design review. While there were various purely vision based approaches that looked interesting, I found, read and understood a paper that used a novel technique that we will attempt to implement:
https://ijeir.org/administrator/components/com_jresearch/files/publications/IJEIR_835_Final.pdf
- Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
The facial detection is taking longer than anticipated. The adaboost training and cascading code is rather complicated to write. However, I have made some progress and am understanding the algorithms much more. I should be able to fully implement and test them before spring break.
- What deliverables do you hope to complete in the next week?
I will continue working on the facial detection algorithms. I should be able to fully implement the version that uses openCV’s pre-trained Haar Cascades in by mid-week, and then work on the adaboost training code. I am on track to finish the facial detection before spring break.