In recent times, the advancement in object detection has induced new video processing applications. This paper explores the development of the face tracking system with a probabilistic approach where face similarities and relative positions are considered. The potential applications and further enhancement includes detecting the human faces along with the behavior analysis and video surveillance at the chaotic situation such as objects overlapping. The system includes three stages - face detection and face alignment using MTCNN, face recognition using FaceNet, and face tracking after Gibbs sampling. I evaluate the full-temporal method and three other approaches - baseline, positional, and instantaneous methods.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Phyo, Zarni

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-121319-015711

Advisor

• Whitehill, Jacob Richard

Year

• 2019

Date created

• 2019-12-13

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright