Paper Info
Title
Detection And Tracking Of Facial Features By Using Edge Pixel Counting And Deformable Circular Template Matching
Abstract
In this paper face feature detection and tracking are discussed, using methods called edge pixel counting and deformable circular template matching. Instead of utilizing color or gray scale information of the facial image, the proposed edge pixel counting method utilizes the edge information to estimate the face Feature positions such as eyes, nose and mouth, using a variable size face feature template, the initial size of which is predetermined by using a facial image database. The method is robust in the sense that the detection is possible with facial images with different skin color and different facial orientations. Subsequently, by using a deformable circular template matching two iris positions of the face are determined and are used in the edge pixel counting, to track the features in the next frame. Although feature tracking using gray scale template matching often fails when inter frame correlation around the feature areas are very low due to facial expression change (such as, talking, smiling, eye blinking etc.), feature tracking using edge pixel counting can track facial features reliably. Some experimental results are shown to demonstrate the effectiveness of the proposed method.
Year
Venue
Keywords
1995
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
FACIAL FEATURE DETECTION, FACIAL FEATURE TRACKING, EDGE DETECTION, DEFORMABLE TEMPLATE MATCHING
Field
DocType
Volume
Template matching,Computer vision,Pattern recognition,Edge detection,Computer science,Artificial intelligence,Pixel
Journal
E78D
Issue
ISSN
Citations 
9
0916-8532
4
PageRank 
References 
Authors
1.51
0
3
Name
Order
Citations
PageRank
Liyanage C. De Silva156834.05
Kiyoharu Aizawa21836292.43
Hatori M3196525.40