Fast video target tracking in the presence of occlusion and camera motion blur

Changchun Li, Baohua Li, Jennie Si, Glen P. Abousleman

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

2 Scopus citations

Abstract

This paper addresses the issue of tracking partially occluded targets in videos recorded by moving cameras of either handhold or airborne. We propose a fast geometric constraint global motion algorithm to reduce the computation overhead dramatically and the effect caused by outliers from moving targets. A recursive leastsquares filter with forgetting factor is utilized to filter out disturbances and to provide a better estimation of the target's position in the current frame as well as the prediction of the position and velocity for the next frame. The filter uses the affine model and the primary search result to construct a kinetic model. After that, a compact search region is formed based on the prediction to reduce mismatch and improve computation speed. The adaptive template matching is applied to improve the performance further. With these important steps, a tracking algorithm is developed and tested on real video sequences.

Original languageEnglish (US)
Title of host publicationSignal Processing, Sensor Fusion, and Target Recognition XVI
DOIs
StatePublished - Nov 16 2007
EventSignal Processing, Sensor Fusion, and Target Recognition XVI - Orlando, FL, United States
Duration: Apr 9 2007Apr 11 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6567
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition XVI
CountryUnited States
CityOrlando, FL
Period4/9/074/11/07

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Keywords

  • Direction-guided search
  • Global motion
  • Kalman filter
  • Occlusion
  • Recursive least-squares filter
  • Target tracking

ASJC Scopus subject areas

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

Cite this

Li, C., Li, B., Si, J., & Abousleman, G. P. (2007). Fast video target tracking in the presence of occlusion and camera motion blur. In Signal Processing, Sensor Fusion, and Target Recognition XVI [656707] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6567). https://doi.org/10.1117/12.719837