Object Tracking by Maximizing Classification Score of Detector Based on Rectangle Features

• HIDAKA Akinori

  Systems and Information Engineering, University of Tsukuba The Institute of Electronics, Information and Communication Engineers

• NISHIDA Kenji

  Neuroscience Research Institute, National Institute of Advanced Industrial Science and Technology

• KURITA Takio

  Systems and Information Engineering, University of Tsukuba Neuroscience Research Institute, National Institute of Advanced Industrial Science and Technology The Institute of Electronics, Information and Communication Engineers

Abstract

In this paper, we propose a novel classifier-based object tracker. Our tracker is the combination of Rectangle Feature (RF) based detector [17], [18] and optical-flow based tracking method [1]. We show that the gradient of extended RFs can be calculated rapidly by using Integral Image method. The proposed tracker was tested on real video sequences. We applied our tracker for face tracking and car tracking experiments. Our tracker worked over 100fps while maintaining comparable accuracy to RF based detector. Our tracking routine that does not contain image I/O processing can be performed about 500 to 2,500fps with sufficient tracking accuracy.

Journal

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E91-D (8), 2163-2170, 2008

  The Institute of Electronics, Information and Communication Engineers

Keywords

• object detection
• tracking
• support vector tracker
• rectangle features
• boosting

Details

• CRID: 1390001204377771520
• NII Article ID: 10026805354
• NII Book ID: AA10826272
• DOI: 10.1093/ietisy/e91-d.8.2163
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E91.D/8/E91.D_8_2163/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed