2023–24 Projects:
If you are given a photograph that includes one or more faces, you seldom have trouble pointing to the faces, or counting the faces, or even recognizing whose faces they are. If you see a video with people in it, your eyes can track the movements of the people's faces, identifying without difficulty the changing positions of the eyes, the mouth, and the ears. Even when people are not facing the camera or are only partially visible, as in an aerial shot of an outdoor concert, you can count with reasonable accuracy the number of people in the picture, and follow them as they move.
The problems of automatic face detection and tracking have been studied extensively, and many of the resulting algorithms are routinely built into digital cameras and photo management software like Picasa and iPhoto. Face detection and tracking are used to focus and orient photographs as they are taken, to automatically adjust color and brightness settings, to count people at an event, to classify people walking past a camera at a mall (for marketing demographic or surveillance purposes), to guide automatic spotlights or microphone systems in a theater, to begin the process of face recognition for biometric security systems, etc.
For this project, you will research and implement face tracking and some of its applications.
The core of this project will involve:
Once your basic face tracking is ready, you can add applications or variations to your system. For example: