Fast object detection using multistage particle window deformable part model

Wei Ta Chu, Ming Hung Hsu

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

Abstract

For object detection, evaluating all sliding windows at various scales draws a computational efficiency issue. In this paper, we propose a fast object detection framework using the multistage particle window strategy to accelerate the cascade deformable part model (DPM). Coupling this strategy with the proposed early jump scheme, adaptive particle window generation, and efficient preprocessing, we demonstrate that the proposed method runs 34.5 times faster than the conventional DPM to detect objects in images, and is able to efficiently detect vehicles and pedestrians in on-road videos.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages98-101
Number of pages4
ISBN (Electronic)9781479943111
DOIs
Publication statusPublished - 2015 Feb 5
Event16th IEEE International Symposium on Multimedia, ISM 2014 - Taichung, Taiwan
Duration: 2014 Dec 102014 Dec 12

Publication series

NameProceedings - 2014 IEEE International Symposium on Multimedia, ISM 2014

Conference

Conference16th IEEE International Symposium on Multimedia, ISM 2014
CountryTaiwan
CityTaichung
Period14-12-1014-12-12

All Science Journal Classification (ASJC) codes

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

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