The objective of this project is to develop a real-time computer vision solution for accurately counting people in a moving environment. Using advanced image processing techniques and leveraging both C++ and Python, learners will design, implement, and optimize algorithms that can detect, track, and count individuals as they move through a scene. The project will culminate in a working prototype that demonstrates robust and real-time performance, even under varying lighting conditions and dynamic backgrounds, providing a practical solution for applications such as crowd monitoring and public space management.

Students are expected to complete a working program that utilizes computer vision with C++ and Python that successfully counts the number of people in a moving environment. The program should process video input in real-time, accurately detecting and counting people.

Students are also expected to complete a Comprehensive Report including preparation of a detailed report that includes:

• A brief overview of the project and its goals.
• The system design and methodology behind the people counting algorithm.
• Performance evaluation and analysis, including any challenges encountered and potential improvements.