caa a22 4500 605446628 CHVBK 20210128100128.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11042-014-2204-y doi (NATIONALLICENCE)springer-10.1007/s11042-014-2204-y A new deformable mesh model for face tracking using edge based features and novel sets of energy functions [Elektronische Daten] [Ali Taimori, Alireza Behrad] This paper presents a new method for automatic human face locating and tracking. The proposed method consists of two modules including face locating and face tracking. The face locating module has a hierarchical structure, which consists of a skin color classifier together with AdaBoost based face detectors. The face tracking module is considered to be the main contribution of the paper. The module is based on the unstructured 2-D triangular deformable meshes, which employs a new robust and illumination insensitive feature extraction and matching algorithms as well as new sets of mesh energy functions. The feature extraction and matching algorithms are established upon edge points and their representation using fuzzy set theory, which is called fuzzy edges. For matching features, a multiresolution algorithm is utilized based on fuzzy edges and edge pyramid. The new mesh energy functions are also employed to manage both rigid and non-rigid motions in the head and face. Experimental results demonstrate the accuracy and stability of the proposed method for both face locating and face tracking. Springer Science+Business Media New York, 2014 Deformable mesh nationallicence Face locating and tracking nationallicence Feature extraction nationallicence Fuzzy sets theory nationallicence Optical flow nationallicence Mesh energy functions nationallicence Taimori Ali Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran aut Behrad Alireza Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10735-10759 1380-7501 74:23<10735 2015 74 11042 https://doi.org/10.1007/s11042-014-2204-y text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2204-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Taimori Ali Department of Electrical and Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran aut NATIONALLICENCE 700 1- Behrad Alireza Electrical and Electronic Engineering Department, Faculty of Engineering, Shahed University, Tehran, Iran aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10735-10759 1380-7501 74:23<10735 2015 74 11042