Dr. Herman Martins Gomes Profile

Dr. Herman Martins Gomes

at Univ Federal de Campina Grande

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Proceedings Article | 3 March 2014 Paper

Technology survey on video face tracking

Tong Zhang, Herman Martins Gomes

Proceedings Volume 9027, 90270F (2014) https://doi.org/10.1117/12.2048518

KEYWORDS: Video, Facial recognition systems, Particles, Video surveillance, Particle filters, Cameras, Sensors, Detection and tracking algorithms, Head, Electronic filtering

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With the pervasiveness of monitoring cameras installed in public areas, schools, hospitals, work places and homes, video analytics technologies for interpreting these video contents are becoming increasingly relevant to people’s lives. Among such technologies, human face detection and tracking (and face identification in many cases) are particularly useful in various application scenarios. While plenty of research has been conducted on face tracking and many promising approaches have been proposed, there are still significant challenges in recognizing and tracking people in videos with uncontrolled capturing conditions, largely due to pose and illumination variations, as well as occlusions and cluttered background. It is especially complex to track and identify multiple people simultaneously in real time due to the large amount of computation involved. In this paper, we present a survey on literature and software that are published or developed during recent years on the face tracking topic. The survey covers the following topics: 1) mainstream and state-of-the-art face tracking methods, including features used to model the targets and metrics used for tracking; 2) face identification and face clustering from face sequences; and 3) software packages or demonstrations that are available for algorithm development or trial. A number of publically available databases for face tracking are also introduced.

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