Optical Flow Feature Detection

File Structure:

Folders

• Datasets: all input videos
• Haarcascade_Classifier: two classifiers. We used haarcascade_frontalface_alt.xml classifier because it has better performance
• Output_Video: contains all types of output videos, including .avi, .m4v, .mov. Grade whichever opens on your laptop.
• First_Frame_with_Features: contains all first frame images with feature points and boxes overlaid
• Resources is micellaneous, can be ignored

Function Files

• detectFace.py: default scaleFactor=1.1. Adjust scaleFactor=1.02 when running on strangerthings.mp4
• helper.py: contains drawBox function which copies image with feature box overlaid on it, and gaussian convolution function gaussianPDF which returns an operator for Ix and Iy

To run test videos

faceTracking.py: main function produces the tracked videos.

To test on different input videos, change rawvideo file path and tracked_video file path. If a tracked_video with the same name already exist, videowriter does not override and will fail to produce new tracked video file.

First Frame of Test Videos

note: the color scale is a bit off

Easy

Marques Brown Lee

The Martian

Medium

Tyrion Lannister

Hard

Stranger Things