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Real-time human action recognition by luminance field trajectory analysis

Published: 26 October 2008 Publication History

Abstract

The explosive growth of video content in recent years fueled by the technological leaps in computing and communication has created new challenges for video content analysis that can serve applications in video surveillance, video searching and mining. Human action detection and recognition is one of the important tasks in this effort. In this paper, we present a luminance field manifold trajectory analysis based solution for human activity recognition, without explicit object level information extraction and understanding. This approach is computationally efficient and can operate in real time. The recognition performance is also comparable with the state of art in comparable set ups.

References

[1]
S.-F. Chang, W. Chen, H. J. Meng, H. Sundaram, and D. Zhong, "A Fully Automated Content-Based Video Search Engine Supporting Spatio-Temporal Queries", IEEE Trans on Circuits and Systems for Video Tech (CSVT), vol. 8, no. 5, pp. 602--615, September 1998.
[2]
Y. Fu, Z. Li, T. S. Huang, and A. K. Katsaggelos. "Locally Adaptive Subspace and Similarity Metric Learning for Visual Clustering and Retrieval", Computer Vision and Image Understanding, vol. 110, no. 3, pp. 390--402, 2008.
[3]
Y. Ke, R. Sukthankar, and M. Hebert. "Efficient visual event detection using volumetric features", In Proc of IEEE ICCV, pp. 166--173, 2005.
[4]
T.-Y Kim, S.-F. Wong and R. Cipolla, "Tensor Canonical Correlation Analysis for Action Classification", In Proc. of IEEE Conf. on CVPR, Minneapolis, MN, 2007
[5]
L. Laptev and T. Kindeberg, "Space-time interest points", Proc. of IEEE ICCV, pp. 432--439, Nice, France, 2003.
[6]
P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection", IEEE Trans on PAMI, vol. 19, no. 7, pp. 711--720, July 1997.
[7]
Z. Li, L. Gao, A. K. Katsaggelos, "Locally Embedded Linear Subspaces for Efficient Video Indexing and Retrieval", Proc. of IEEE Int'l Conf on Multimedia & Expo, pp. 1765--1768, 2006.
[8]
X. He, S. Yan, Y. Hu, P. Niyogi, and H.-J. Zhang, "Face Recognition Using Laplacianfaces", IEEE Trans. on PAMI, vol. 27, no. 3, pp. 328--340, Mar. 2005.
[9]
J. C. Niebles, H. Wang, and L. Fei-Fei. "Unsupervised learning of human action categories using spatial-temporal words", Proc of British Machine Vision Conference, Edinburg, 2006.
[10]
C. Schuldt, I. Laptev, and B. Caputo, "Recognizing Human Actions: A Local SVM Approach", Proc. of IEEE ICPR, pp. 32--36, Cambridge, UK, 2004.
[11]
A. Yilmaz and M. Shah. "Recognizing human actions in videos acquired by uncalibrated moving cameras", Proc. of IEEE ICCV, vol. 1, pp.150--157, 2005.
[12]
L. Zelnik-Manor and M. Irani, "Event-based analysis of video", Proc. of IEEE CVPR, 2001.

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  • (2018)RegFrameNeural Computing and Applications10.1007/s00521-017-2883-130:9(2787-2793)Online publication date: 1-Nov-2018
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cover image ACM Conferences
MM '08: Proceedings of the 16th ACM international conference on Multimedia
October 2008
1206 pages
ISBN:9781605583037
DOI:10.1145/1459359
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 October 2008

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Author Tags

  1. human action recognition
  2. video analysis
  3. video understanding

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  • Short-paper

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MM08
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MM08: ACM Multimedia Conference 2008
October 26 - 31, 2008
British Columbia, Vancouver, Canada

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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  • (2019)Speed-Invariant Gait Recognition Using Single-Support Gait Energy ImageMultimedia Tools and Applications10.1007/s11042-019-7712-3Online publication date: 11-Jun-2019
  • (2018)Pooling the Convolutional Layers in Deep ConvNets for Video Action RecognitionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2017.268219628:8(1839-1849)Online publication date: Aug-2018
  • (2018)RegFrameNeural Computing and Applications10.1007/s00521-017-2883-130:9(2787-2793)Online publication date: 1-Nov-2018
  • (2016)Light Reference Video Quality Estimation with Embedding of Compact Features2016 IEEE International Symposium on Multimedia (ISM)10.1109/ISM.2016.0034(139-143)Online publication date: Dec-2016
  • (2016)Automated tracking, segmentation and trajectory classification of pelvic organs on dynamic MRI2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)10.1109/EMBC.2016.7591214(2403-2406)Online publication date: Aug-2016
  • (2015)Human action recognition in H.264/AVC compressed domain using meta-cognitive radial basis function networkApplied Soft Computing10.1016/j.asoc.2015.06.05436:C(218-227)Online publication date: 1-Nov-2015
  • (2015)Compressed domain human action recognition in H.264/AVC video streamsMultimedia Tools and Applications10.1007/s11042-014-2083-274:21(9323-9338)Online publication date: 1-Nov-2015
  • (2014)Video Event Detection Using Motion Relativity and Feature SelectionIEEE Transactions on Multimedia10.1109/TMM.2014.231578016:5(1303-1315)Online publication date: Aug-2014
  • (2014)Similarity Assessment Model for Chinese Sign Language VideosIEEE Transactions on Multimedia10.1109/TMM.2014.229838216:3(751-761)Online publication date: 1-Apr-2014
  • (2014)Human action recognition in compressed domain using PBL-McRBFN approach2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)10.1109/ISSNIP.2014.6827622(1-6)Online publication date: Apr-2014
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