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Visitor-art interaction by motion path detection

Viktor Slavkovikj (UGent) , Steven Verstockt (UGent) , Wesley De Neve (UGent) , Sofie Van Hoecke (UGent) and Rik Van de Walle (UGent)
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Abstract
This paper describes a method for video-based motion path detection which is applied in the creation of an interactive artwork. The proposed algorithm, based on the Hough transform, detects parametric motion trajectories in real-time (10 fps). In order to detect people's motion under non-static background object occlusion we have also developed a video segmentation technique. The proposed interaction system adopts top-down camera view to extract spatiotemporal motion trajectories and discern predefined patterns of movement thus enabling the creation of new artistic choreographies. We present test results that illustrate the effectiveness of our method and discuss the practical applicability of our approach in other domains.
Keywords
motion path detection, video segmentation, real-time video processing

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Chicago
Slavkovikj, Viktor, Steven Verstockt, Wesley De Neve, Sofie Van Hoecke, and Rik Van de Walle. 2013. “Visitor-art Interaction by Motion Path Detection.” In 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP). IEEE Explore.
APA
Slavkovikj, V., Verstockt, S., De Neve, W., Van Hoecke, S., & Van de Walle, R. (2013). Visitor-art interaction by motion path detection. 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP). Presented at the 18th International Conference on Digital Signal Processing (DSP), IEEE Explore.
Vancouver
1.
Slavkovikj V, Verstockt S, De Neve W, Van Hoecke S, Van de Walle R. Visitor-art interaction by motion path detection. 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP). IEEE Explore; 2013.
MLA
Slavkovikj, Viktor, Steven Verstockt, Wesley De Neve, et al. “Visitor-art Interaction by Motion Path Detection.” 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP). IEEE Explore, 2013. Print.
@inproceedings{4382581,
  abstract     = {This paper describes a method for video-based motion path detection which is applied in the creation of an interactive artwork. The proposed algorithm, based on the Hough transform, detects parametric motion trajectories in real-time (10 fps). In order to detect people's motion under non-static background object occlusion we have also developed a video segmentation technique. The proposed interaction system adopts top-down camera view to extract spatiotemporal motion trajectories and discern predefined patterns of movement thus enabling the creation of new artistic choreographies. We present test results that illustrate the effectiveness of our method and discuss the practical applicability of our approach in other domains.},
  author       = {Slavkovikj, Viktor and Verstockt, Steven and De Neve, Wesley and Van Hoecke, Sofie and Van de Walle, Rik},
  booktitle    = {2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)},
  isbn         = {9781467358057},
  language     = {eng},
  location     = {Santorini, Griekenland},
  pages        = {6},
  publisher    = {IEEE Explore},
  title        = {Visitor-art interaction by motion path detection},
  year         = {2013},
}

Web of Science
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