Low complexity Homography Matrix based SIFT for real-time 2D rigid object tracking

Ying Lu, Chengjiao Guo, Jingbang Qiu, Peilin Liu, Takeshi Ikenaga

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

2 Citations (Scopus)

Abstract

SIFT is one of the most robust feature extraction algorithms and widely used in object tracking field. While invariant to scale, rotation and other image transforms, the traditional SIFT algorithm is rather time-consuming in creating description of the large number of keypoints. Aiming at reducing tracking time and complexity to achieve real time compliance, this paper proposes Homography Matrix based SIFT for fast and robust object tracking. By introducing Homography Matrix and Concise Keypoint Selecting (CKS) scheme, search region area can be greatly decreased with less redundant keypoints but still high tracking precision especially for fast-moving object. Experiment results by the proposed methods show that the time spent on tracking a VGA video sequence can be reduced for up to 92.8% and the frame rate can achieve 5 fps while the spatial deviation of tracking could be kept within 1.9 pixels in average.

Original languageEnglish
Title of host publication2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs
Publication statusPublished - 2010 Nov 25
Event2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China
Duration: 2010 Sep 232010 Sep 25

Publication series

Name2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010

Conference

Conference2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
CountryChina
CityChengdu
Period10/9/2310/9/25

Keywords

  • Homography Matrix
  • Object tracking
  • SIFT

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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  • Cite this

    Lu, Y., Guo, C., Qiu, J., Liu, P., & Ikenaga, T. (2010). Low complexity Homography Matrix based SIFT for real-time 2D rigid object tracking. In 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 [5601044] (2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010). https://doi.org/10.1109/WICOM.2010.5601044