Human detection in fish-eye images using HOG-based detectors over rotated windows

An Ti Chiang, Yao Wang

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

Abstract

Fish-eye cameras are efficient means to provide an omni-view video recording over a large area using a single camera. Although effective algorithms for human detection in images captured by conventional cameras have been developed, human detection in fish-eye images remains an open challenge. Recognizing that humans typically appear on radial lines emitted from the center in fish-eye images, we propose to apply the popular human detection algorithm based on the Histogram of Oriented Gradient (HOG) features after rotating each search window on a radial line to the vertical reference line. We extract positive and negative examples by such rotations to train the SVM classifier using HOG features. To detect humans in a given image, we rotate the image successively and detect windows containing humans along the reference line after each rotation using the trained classifier. We use multiple window sizes to detect people with different appearance sizes. We further develop an algorithm to discover multiple overlapping windows covering the same person and identify the window that encloses the person the best. The proposed method has yielded highly accurate human detection in low-resolution, low-contrast images containing multiple people with varying poses and sizes.

Original languageEnglish (US)
Title of host publication2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479947171
DOIs
StatePublished - Sep 3 2014
Event2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 - Chengdu, China
Duration: Jul 14 2014Jul 18 2014

Publication series

Name2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014

Other

Other2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014
CountryChina
CityChengdu
Period7/14/147/18/14

Keywords

  • fish-eye camera
  • histogram of oriented gradient
  • human detection
  • support vector machine

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Chiang, A. T., & Wang, Y. (2014). Human detection in fish-eye images using HOG-based detectors over rotated windows. In 2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014 [6890553] (2014 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMEW.2014.6890553