Boosted Tracking in Video

被引：9

作者：

Boccignone, Giuseppe ^{[1
]}

Campadelli, Paola ^{[1
]}

Ferrari, Alessandro ^{[1
]}

Lipori, Giuseppe ^{[1
]}

机构：

[1] Univ Milan, Dipartimento Sci Informaz, I-20135 Milan, Italy

来源：

IEEE SIGNAL PROCESSING LETTERS | 2010年 / 17卷 / 02期

关键词：

Boosted classifiers; face detection; object tracking; particle filtering; pedestrian detection;

D O I：

10.1109/LSP.2009.2030862

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We discuss how a probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework. Results show that such integrated approach is appealing with respect both to robustness and computational efficiency.

引用

页码：129 / 132

页数：4

共 12 条

[1] Background and foreground modeling using nonparametric kernel density estimation for visual surveillance [J].

Elgammal, A ;

Duraiswami, R ;

Harwood, D ;

Davis, LS .

PROCEEDINGS OF THE IEEE, 2002, 90 (07) :1151-1163

[2] Additive logistic regression: A statistical view of boosting - Rejoinder [J].

Friedman, J ;

Hastie, T ;

Tibshirani, R .

ANNALS OF STATISTICS, 2000, 28 (02) :400-407

[3] CONDENSATION - Conditional density propagation for visual tracking [J].

Isard, M ;

Blake, A .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 1998, 29 (01) :5-28

[4]

Kruppa H., 2003, Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS), P157

[5]

Li PH, 2005, LECT NOTES COMPUT SC, V3522, P161

[6]

LIENHART R, 2003, DAGM 25 PATT REC S

[7]

Okuma K., 2004, BOOSTED PARTICLE FIL, P28

[8]

Schneiderman H, 2000, PROC CVPR IEEE, P746, DOI 10.1109/CVPR.2000.855895

[9]

VERMA R, 2003, FACE DETECTION TRACK, V25, P1215

[10] Robust real-time face detection [J].

Viola, P ;

Jones, MJ .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 57 (02) :137-154

← 1 2 →