A multiclass boosting approach for integrating weak classifiers in parking space detection

Ching-Chun Huang, Hoang Tran Vu, Yi Ren Chen

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

5 Scopus citations

Abstract

Recently, Huang's method [1] has proposed to use a 3D parking space representation for parking space detection. Following a generative process, the approach treats a parking lot as the collection of many parking spaces. Each space is modeled by a 3D cube. Each 3D cube is composed of multiple 3D surfaces. If projecting those 3D surfaces onto the image, many image patches of a parallelogram shape would be determined; each patch may reveal some weak information that could be used to infer the parking status. In order to transfer the image feature into status information, the approach trained a weak classifier for each image patch. Finally, by combining these weak classifiers, this approach could well determine the parking status. However, we found that the system weights for combining the weak classifiers in Huang's method are manually selected. This might not be suitable since different classifiers usually have different class discriminative ability. To address the issue, we proposed a multiclass boosting method to incorporate these weak classifiers through a back-propagation learning process.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages314-315
Number of pages2
ISBN (Electronic)9781479987443
DOIs
StatePublished - 20 Aug 2015
Event2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015 - Taipei, Taiwan
Duration: 6 Jun 20158 Jun 2015

Publication series

Name2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

Conference

Conference2nd IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
CountryTaiwan
CityTaipei
Period6/06/158/06/15

Keywords

  • Aerospace electronics
  • Boosting
  • Feature extraction
  • Mathematical model
  • Support vector machines
  • Three-dimensional displays
  • Training

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