Accurate background points detection for action recognition in practical video datasets

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper treats the action recognition of moving objects such as humans in practical video-bases of unconstrained videos. For that, the motion of background image pixels, caused by the camera motion, in video frames of a scene strongly affects the accuracy. Removing such background moving influence is a challenging problem. State-of-The-Art human action recognition approaches adopted human detection to exclude background or directly use some largest motion pattern clusters as candidate background pixels. In this paper, the authors propose a new background estimation method according to background nature. This method could estimate moving background pixels or camera motion from the selected background pixels. Compared with foreground pixels, background pixels have a high diversity and small average distances to the several borders of a video frame. Those are important criteria to estimate background pixels. The proposed approach is based on the long term analysis of point motion trajectories which are more suitable for video image processing. Experimental results show that the proposed approach achieves a very competitive background extraction performance for practical video-bases.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
PublisherIADIS
Pages195-205
Number of pages11
ISBN (Electronic)9789898533524
Publication statusPublished - Jan 1 2016
Event2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016 - Madeira, Portugal
Duration: Jul 1 2016Jul 4 2016

Other

Other2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016
CountryPortugal
CityMadeira
Period7/1/167/4/16

Fingerprint

Pixels
Cameras
Image processing
Trajectories

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Xiang, Y., Okada, Y., & Kaneko, K. (2016). Accurate background points detection for action recognition in practical video datasets. In Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016 (pp. 195-205). IADIS.

Accurate background points detection for action recognition in practical video datasets. / Xiang, Yu; Okada, Yoshihiro; Kaneko, Kosuke.

Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS, 2016. p. 195-205.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xiang, Y, Okada, Y & Kaneko, K 2016, Accurate background points detection for action recognition in practical video datasets. in Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS, pp. 195-205, 2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016, Madeira, Portugal, 7/1/16.
Xiang Y, Okada Y, Kaneko K. Accurate background points detection for action recognition in practical video datasets. In Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS. 2016. p. 195-205
Xiang, Yu ; Okada, Yoshihiro ; Kaneko, Kosuke. / Accurate background points detection for action recognition in practical video datasets. Proceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016. IADIS, 2016. pp. 195-205
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