Abstract
The goal of this project is to examine computer vision and object tracking. This project uses the OpenCV framework and C++ programming language to apply object tracking to a video feed. The software determines if the object is a person and if it is, tracks them until they exit the video frame. Along with tracking, the software also counts the number of individuals that enter the frame. The project also includes in-depth research into Histograms of Oriented Gradients that is utilized in the software. The goal of this project is to utilize Histogram of Oriented Gradients (HOG) in order to accurately track and record the number of number of people that enter a video feed.
Advisor
Sommer, Nathan
Department
Computer Science
Recommended Citation
Walls, Harrison J., "Using Histograms of Oriented Gradients to Track and Count People" (2019). Senior Independent Study Theses. Paper 8541.
https://openworks.wooster.edu/independentstudy/8541
Publication Date
2019
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2019 Harrison J. Walls