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Pose robust human detection using multiple oriented 2d elliptical filters

Published: 31 October 2008 Publication History

Abstract

This paper proposes a pose robust human detection method from a sequence of stereo images using the multiple oriented 2D elliptical filters (MO2DEFs), which can detect the humans regardless of the their scales and poses. Existing object oriented scale adaptive filter (OOSAF) has some disadvantages since they cannot detect the human with an arbitrary pose. To overcome this limitation, we introduce the pose robust MO2DEFs whose shapes are the oriented ellipses. We perform human detection by applying four 2D elliptical filters with specific orientations to the 2D spatial-depth histogram and by taking the thresholds over the filtered histograms. In addition, we determine the human pose by taking the orientation of the 2D elliptical filter whose convolution result is maximal among the MO2DEFs. We verify the human candidates by either detecting the face or matching head-shoulder shapes over the segmented human candidates of the selected rotation. The experimental results show that (1) the accuracy of pose angle estimation is about 88%, (2) the human detection using the proposed MO2DEFs outperforms that of using the existing OOSAF by 15~20%, especially in case of the posed human.

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Cited By

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  • (2022)Design of variable elliptical filters with direct tunability in 2D domainMultidimensional Systems and Signal Processing10.1007/s11045-021-00798-533:2(367-400)Online publication date: 1-Jun-2022
  • (2018)Analytical Design of Elliptically-Shaped 2D Recursive Filters2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS.2018.8624079(964-967)Online publication date: Aug-2018
  • (2010)Real time multiple people tracking and pose estimationProceedings of the 1st ACM international workshop on Multimodal pervasive video analysis10.1145/1878039.1878042(5-10)Online publication date: 29-Oct-2010

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cover image ACM Conferences
VNBA '08: Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
October 2008
116 pages
ISBN:9781605583136
DOI:10.1145/1461893
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: 31 October 2008

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Author Tags

  1. face detection
  2. human detection
  3. human verification
  4. multiple oriented 2d elliptical filter
  5. pose angle estimation
  6. shape

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

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Cited By

View all
  • (2022)Design of variable elliptical filters with direct tunability in 2D domainMultidimensional Systems and Signal Processing10.1007/s11045-021-00798-533:2(367-400)Online publication date: 1-Jun-2022
  • (2018)Analytical Design of Elliptically-Shaped 2D Recursive Filters2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS.2018.8624079(964-967)Online publication date: Aug-2018
  • (2010)Real time multiple people tracking and pose estimationProceedings of the 1st ACM international workshop on Multimodal pervasive video analysis10.1145/1878039.1878042(5-10)Online publication date: 29-Oct-2010

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