Paper Title

Detection and Tracking of Faces in Videos: A Review of Related Work

Authors

  • Seema Saini
  • Parminder Sandal

Keywords

Face tracking, tracker, feature points, Image Processing etc.

Abstract

Face detection and tracking in real-time is a inspiring problem in many application situations such as faces and gesture recognition in computer vision and robotics. The continuing work implements a robust method which is expected to localize multiple faces at same time under the changing environment of light brightness and complex background in real time by utilizing face detection and tracking in combination with depth information. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is used and dedicated to work on facial features by embedding knowledge about the configuration and visual characteristics of the face. The resulting tracker is designed to recover from the loss of points caused by tracking drift or temporary occlusion. Performance assessment experiments is carried out on a set of video sequences of several facial expressions. The methods reviewed will are the state-of-the-art algorithms for this purpose.

Article Type

Published

How To Cite

Seema Saini, Parminder Sandal. "Detection and Tracking of Faces in Videos: A Review of Related Work".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.4, Issue 2, pp.1202-1204, URL :https://rjwave.org/ijedr/papers/IJEDR1602212.pdf

Issue

Volume 4 Issue 2 

Pages. 1202-1204

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