How Good Is Kernel Descriptor on Depth Motion Map for Action Recognition

被引：9

作者：

Thanh-Hai Tran ^{[1
]}

Van-Toi Nguyen ^{[1
,2
,3
]}

机构：

[1] Int Res Inst MICA, HUST CNRS UMI 2954 INP Grenoble, Hanoi, Vietnam

[2] Univ La Rochelle, Lab L3i, La Rochelle, France

[3] Thai Nguyen Univ, Univ Informat & Commun Technol, Thai Nguyen, Vietnam

来源：

COMPUTER VISION SYSTEMS (ICVS 2015) | 2015年 / 9163卷

关键词：

Action recognition; Depth motion map; Kernel descriptor;

D O I：

10.1007/978-3-319-20904-3_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new method for action recognition using depth data. Each depth sequence is represented by depth motion maps from three projection views (front, side and top) to exploit different aspects of the motion. However, different from state of the art works extracting local binary pattern or histogram of oriented gradients, we describe an action based on gradient kernel descriptor. The proposed method is evaluated on two benchmark datasets (MSRAction3D and MSRGestures3D) and obtains very competitive performances with the best state of the arts methods. Our best recognition rate is 91.57% on MSRAction3D and 100% on MSRGestures3D dataset whereas [1] achieved 93.77% and 94.60% respectively.

引用

页码：137 / 146

页数：10

共 13 条

[1]

[Anonymous], 2010, ADV NEUR INF PROC SY

[2]

[Anonymous], 2012, P ACM INT C MULT NAR, DOI DOI 10.1145/2393347.2396382

[3] Action Recognition from Depth Sequences Using Depth Motion Maps-based Local Binary Patterns [J].

Chen, Chen ;

Jafari, Roozbeh ;

Kehtarnavaz, Nasser .

2015 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2015, :1092-1099

[4]

Kurakin A, 2012, EUR SIGNAL PR CONF, P1975

[5] Application on Integration Technology of Visualized Hierarchical Information [J].

Li, Weibo ;

He, Yang .

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL I, 2010, :9-12

[6]

Mao Ye, 2013, Time-Of-Flight and Depth Imaging. Sensors, Algorithms and Applications. Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities: LNCS 8200, P149, DOI 10.1007/978-3-642-44964-2_8

[7] HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences [J].

Oreifej, Omar ;

Liu, Zicheng .

2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, :716-723

[8]

Shotton J., 2012, PAMI

[9] Machine Recognition of Human Activities: A Survey [J].

Turaga, Pavan ;

Chellappa, Rama ;

Subrahmanian, V. S. ;

Udrea, Octavian .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2008, 18 (11) :1473-1488

[10]

Wang J., 2012, CVPR

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