An efficient object detection algorithm for large-size images based on a hierarchical semantic grouping approach

Hyunguk Choi, Jeonghwan Gwak, Hyeonseung Song, Hong Gyoo Sohn

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

1 Citation (Scopus)

Abstract

The sliding window method is a common approach for object detection. However, in order to detect relatively small objects in a large-size image, it can be substantially inefficient and require a huge amount of computation. While image downsizing or reduction techniques can be applied to resolve the drawbacks, they have high possibilities of losing essential information on small objects. To circumvent these problems for object detection, we propose an efficient hierarchical semantic grouping algorithm which consists of two parts: 1) Groping and 2) Recognition. The grouping part is to merge fragments using the similarity based on color and HOG features. Then, the recognition part is carried out based on the texton histogram model. In both parts, we use two types of rectangular patches from each fragment. We evaluated the proposed approach in comparison with other object detection methods, and then verified the outperformance and effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages127-131
Number of pages5
ISBN (Electronic)9781479972043
DOIs
Publication statusPublished - 2014 Jan 23
Event3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014 - Gwangju, Korea, Republic of
Duration: 2014 Dec 22014 Dec 5

Publication series

Name2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014

Other

Other3rd International Conference on Control, Automation and Information Sciences, ICCAIS 2014
CountryKorea, Republic of
CityGwangju
Period14/12/214/12/5

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering

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    Choi, H., Gwak, J., Song, H., & Sohn, H. G. (2014). An efficient object detection algorithm for large-size images based on a hierarchical semantic grouping approach. In 2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014 (pp. 127-131). [7020542] (2014 International Conference on Control, Automation and Information Sciences, ICCAIS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAIS.2014.7020542