Biologically Inspired Features for Scene Classification in Video Surveillance

被引：67

作者：

Huang, Kaiqi ^{[1
]}

Tao, Dacheng ^{[2
]}

Yuan, Yuan ^{[3
]}

Li, Xuelong ^{[4
]}

Tan, Tieniu ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China

[2] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore

[3] Aston Univ, Sch Engn & Appl Sci, Birmingham B4 7ET, W Midlands, England

[4] Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2011年 / 41卷 / 01期

关键词：

Biologically inspired; scene classification; video surveillance; DISCRIMINANT-ANALYSIS; SYSTEM;

D O I：

10.1109/TSMCB.2009.2037923

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Inspired by human visual cognition mechanism, this paper first presents a scene classification method based on an improved standard model feature. Compared with state-of-the-art efforts in scene classification, the newly proposed method is more robust, more selective, and of lower complexity. These advantages are demonstrated by two sets of experiments on both our own database and standard public ones. Furthermore, occlusion and disorder problems in scene classification in video surveillance are also first studied in this paper.

引用

页码：307 / 313

页数：7

共 35 条

[11] Classification and feature extraction by simplexization [J].

Fu, Yun ;

Yan, Shuicheng ;

Huang, Thomas S. .

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2008, 3 (01) :91-100

[12]

Grauman K, 2005, IEEE I CONF COMP VIS, P1458

[13] A real-time object detecting and tracking system for outdoor night surveillance [J].

Huang, Kaiqi ;

Wang, Liangsheng ;

Tan, Tieniu ;

Maybank, Steve .

PATTERN RECOGNITION, 2008, 41 (01) :432-444

[14]

Huang Y., 2008, PROC IEEE INT C COMP, P1

[15]

Jhuang H., 2007, P ICCV

[16]

Lazebnik S., 2006, P IEEE COMPUTER SOC, P2169, DOI 10.1109/CVPR.2006.68

[17] One-shot learning of object categories [J].

Li, FF ;

Fergus, R ;

Perona, P .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2006, 28 (04) :594-611

[18] Discriminant locally linear embedding with high-order tensor data [J].

Li, Xuelong ;

Lin, Stephen ;

Yan, Shuicheng ;

Xu, Dong .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (02) :342-352

[19] A performance evaluation of local descriptors [J].

Mikolajczyk, K ;

Schmid, C .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2005, 27 (10) :1615-1630

[20] Modeling the shape of the scene: A holistic representation of the spatial envelope [J].

Oliva, A ;

Torralba, A .

INTERNATIONAL JOURNAL OF COMPUTER VISION, 2001, 42 (03) :145-175

← 1 2 3 4 →