Face Detection and Tracking from Image and Statistics Gathering

被引：2
|
作者：
Mikhaylov, Dmitry [1 ]
Samoylov, Anton [1 ]
Minin, Peter [1 ]
Egorov, Alexey [1 ]
机构：
[1] Natl Res Nucl Univ MEPhI, Moscow Engn Phys Inst, Ctr Engn, Kashirskoye Highway 31, Moscow 115409, Russia
来源：
10TH INTERNATIONAL CONFERENCE ON SIGNAL-IMAGE TECHNOLOGY AND INTERNET-BASED SYSTEMS SITIS 2014 | 2014年
关键词：
face tracking; template matching tracking; template update; histogram matching;
D O I：
10.1109/SITIS.2014.85
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article deals with facial detection and tracking algorithm development. The most efficient method for facial monitoring, namely, template matching technique, was found by considering different tracking techniques. The authors enumerate main drawbacks of the template tracking and improve the algorithm according to the problem set. The following modifications to the template matching method were developed: template averaging, face loss at image edges, scaling the image according to the eye to eye distance, scaling by means of face search, color histogram check and lost face recovery. The article also provides results of functional and stress tests of the tracking algorithm developed.
引用
收藏
页码：37 / 42
页数：6
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