Action recognition using 3D DAISY descriptor

Authors:
Xiaochun Cao;Hua Zhang;Chao Deng;Qiguang Liu;Hanyu Liu
Affiliations:
School of Computer Science and Technology, Tianjin University, Tianjin, China 300072 and State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Scie ...;School of Computer Science and Technology, Tianjin University, Tianjin, China 300072;School of Computer Science and Technology, Tianjin University, Tianjin, China 300072;University of Rochester, Rochester, USA 14620;State University of New York, Stony Brook, USA 11790
Venue:
Machine Vision and Applications
Year:
2014

Citing 19
Cited 0

Recognizing Action at a Distance

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Recognizing Human Actions: A Local SVM Approach

ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Actions Sketch: A Novel Action Representation

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Space-Time Interest Points

International Journal of Computer Vision
Efficient Visual Event Detection Using Volumetric Features

ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Free viewpoint action recognition using motion history volumes

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

International Journal of Computer Vision
Behavior recognition via sparse spatio-temporal features

ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
A 3-dimensional sift descriptor and its application to action recognition

Proceedings of the 15th international conference on Multimedia
Actions as Space-Time Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeded-Up Robust Features (SURF)

Computer Vision and Image Understanding
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

International Journal of Computer Vision
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector

ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Recognizing human action from a far field of view

WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
A Global Spatio-Temporal Representation for Action Recognition

ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Human activity analysis: A review

ACM Computing Surveys (CSUR)
Variations of a hough-voting action recognition system

ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we propose a novel spatial-temporal descriptor for action recognition. We extend a recent image local descriptor, DAISY, to three dimensions to deal with the information in the additional temporal domain in videos. The new 3D DAISY descriptor is both functionally discriminative and computationally efficient. We use the bag-of-words framework and non-linear SVM for classification. The experiments on public action datasets, KTH, WEIZMANN, YouTube, and UT-Interaction, demonstrate the promising results of our method.