Multi-face tracking based on spatio-temporal detections

被引：0

作者：

Martinez-Diaz, Yoanna ^{[1
]}

Hernandez, Noslen ^{[2
]}

Mendez-Vazquez, Heydi ^{[1
]}

机构：

[1] Adv Technol Applicat Ctr, 7th A Ave 21406 214 & 216, Havana 12200, Cuba

[2] Pontifical Catholic Univ Rio de Janeiro, Rio De Janeiro, Brazil

来源：

INTELLIGENT DATA ANALYSIS | 2016年 / 20卷

关键词：

Face detection; face tracking; data-association; spatio-temporal representation; video;

D O I：

10.3233/IDA-160851

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Tracking-by-detection methods have become increasingly popular recently. This work presents a new multi-face tracking algorithm based on the association of detection responses given by a spatio-temporal face detector; which are considered as initial small trajectories or tracklets. An appearance model based on the spatio-termporal information is used to guide the tracker. Besides, a new adaptive Kalman filter that dynamically adjusts its parameters on the basis of the quality of the detector output is proposed. The introduced approach is evaluated on several challenging video sequences from the YouTube Faces database, achieving a very good performance.

引用

页码：S141 / S154

页数：14

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