K-tangent spaces on Riemannian manifolds for improved pedestrian detection

Andres Sanin, Conrad Sanderson, Mehrtash T. Harandi, Brian C. Lovell

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

5 Citations (Scopus)

Abstract

For covariance-based image descriptors, taking into account the curvature of the corresponding feature space has been shown to improve discrimination performance. This is often done through representing the descriptors as points on Riemannian manifolds, with the discrimination accomplished on a tangent space. However, such treatment is restrictive as distances between arbitrary points on the tangent space do not represent true geodesic distances, and hence do not represent the manifold structure accurately. In this paper we propose a general discriminative model based on the combination of several tangent spaces, in order to preserve more details of the structure. The model can be used as a weak learner in a boosting-based pedestrian detection framework. Experiments on the challenging INRIA and DaimlerChrysler datasets show that the proposed model leads to considerably higher performance than methods based on histograms of oriented gradients as well as previous Riemannian-based techniques.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
Pages473-476
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2012
Externally publishedYes
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, United States of America
Duration: 30 Sep 20123 Oct 2012

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2012 19th IEEE International Conference on Image Processing, ICIP 2012
CountryUnited States of America
CityLake Buena Vista
Period30/09/123/10/12

Keywords

  • boosting
  • covariance descriptors
  • pedestrian detection
  • Riemannian manifolds
  • tangent spaces

Cite this

Sanin, A., Sanderson, C., Harandi, M. T., & Lovell, B. C. (2012). K-tangent spaces on Riemannian manifolds for improved pedestrian detection. In 2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings (pp. 473-476). [6466899] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2012.6466899