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Detection and Tracking of Faces in Videos: A Review of Related Work
Seema Saini,  Parminder Sandal
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.
Keywords- Face tracking, tracker, feature points, Image Processing etc.
Unique Identification Number - IJEDR1602212Page Number(s) - 1202-1204Pubished in - Volume 4 | Issue 2 | May 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Seema Saini,  Parminder Sandal,   "Detection and Tracking of Faces in Videos: A Review of Related Work"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1202-1204, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602212.pdf