Fast algorithms for video target detection and tracking

Li Changchun, Jennie Si, Glen P. Abousleman

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

Abstract

This paper addresses two problems commonly associated with video target tracking system. First, video target detection and tracking usually require extensive searching in a large space to find the best matches for preregistered templates. Existing fast search methods cannot guarantee a global optimal match, which results in substandard performance. To obtain a true global match, a full search at the pixel or sub-pixel level is required. Obviously, this introduces significant computational overhead, which limits the implementation of these algorithms in real-time applications. In this paper, we propose a fast method to compute two-dimensional normalized cross-correlations to efficiently find the global optimal match result from a large image area. Comparisons and complexity analysis are provided to show the efficiency of the proposed algorithm. Second, another challenge commonly faced by detection and tracking systems is the accurate detection of target orientation in a twodimensional image. This problem is motivated by applications where the walk-in and walk-out people need to be detected and a fast image registration method is needed to compensate the change in rotation, translation and size, which is natural since the target's distance from the camera is changing dramatically. To address this issue, we propose a novel and efficient eigenvector-based method to detect target orientation and apply it into automatic human recognition system. Experimental and real-world test results verify that the proposed fast algorithm achieves similar accuracy as the recursive registration method which is computationally expensive.

Original languageEnglish (US)
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XVII
DOIs
StatePublished - Jun 19 2008
EventThe International Society for Optical Engineering (SPIE) - Orlando, FL, United States
Duration: Mar 17 2008Mar 19 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6968
ISSN (Print)0277-786X

Other

OtherThe International Society for Optical Engineering (SPIE)
CountryUnited States
CityOrlando, FL
Period3/17/083/19/08

Keywords

  • Cross correlation
  • Human recognition
  • Image registration
  • Infrared video
  • Target tracking

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Changchun, L., Si, J., & Abousleman, G. P. (2008). Fast algorithms for video target detection and tracking. In Signal Processing, Sensor Fusion, and Target Recognition XVII [69681C] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6968). https://doi.org/10.1117/12.777227