Video-Based People Tracking
Sneha Vasisht, Min Chen · 2017
In this paper, we aim to identify and track people in a given video footage. We perform face detection and recognition, and then use a block matching algorithm to continuously track each detected face. We develop a simple, intuitive, user-friendly interface that enables search by name or image that is useful and convenient for people identification and activity recognition. In addition, we also generate trajectory maps and potential interaction details to help further analyze the movements and interactions of persons throughout the day.