A novel fused algorithm for human face tracking in video sequences

2016 ◽  
Author(s):  
Ranganatha S ◽  
Y P Gowramma
Keyword(s):  
Face Tracking ◽  
Video Sequences ◽  
Human Face

Face and Eye Detection

2011 ◽  
pp. 5-44 ◽  
Author(s):  
Daijin Kim ◽  
Jaewon Sung
Keyword(s):  
Face Detection ◽  
Facial Expression Recognition ◽  
Face Image ◽  
Face Tracking ◽  
Expression Recognition ◽  
Human Face ◽  
Eye Detection ◽  
Face Image Analysis ◽  
Face Images ◽  
The Face

Face detection is the most fundamental step for the research on image-based automated face analysis such as face tracking, face recognition, face authentication, facial expression recognition and facial gesture recognition. When a novel face image is given we must know where the face is located, and how large the scale is to limit our concern to the face patch in the image and normalize the scale and orientation of the face patch. Usually, the face detection results are not stable; the scale of the detected face rectangle can be larger or smaller than that of the real face in the image. Therefore, many researchers use eye detectors to obtain stable normalized face images. Because the eyes have salient patterns in the human face image, they can be located stably and used for face image normalization. The eye detection becomes more important when we want to apply model-based face image analysis approaches.

Development of the human face tracking algorithm based on the optical flow application

2018 ◽  
Vol 10 (5) ◽  
pp. 86-101
Author(s):  
A.A. Druki ◽  
V.G. Spitsyn ◽  
Yu.A. Bolotova ◽  
D. Oliva ◽  
A.V. Gelginberg
Keyword(s):  
Optical Flow ◽  
Face Tracking ◽  
Tracking Algorithm ◽  
Human Face
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