Detection of motion fields under spatio-temporal non-uniform illumination

@article{Zhang1999DetectionOM,
  title={Detection of motion fields under spatio-temporal non-uniform illumination},
  author={Lin Zhang and Tatsunari Sakurai and Hidetoshi Miike},
  journal={Image Vision Comput.},
  year={1999},
  volume={17},
  pages={309-320}
}
In actual scene analysis, the influence of non-ideal conditions such as non-uniform illumination should be taken into account. The conventional methods for the estimation of motion fields are violated in this situation. In this study, two approaches are proposed to extract reliable motion fields under spatio-temporal non-uniform illumination. These are an extended constraint equation with spatio-temporal local optimization and a pixel-based temporal filtering. Experiments have been made to… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

Accurate optical flow computation under non-uniform brightness variations

Computer Vision and Image Understanding • 2005
View 4 Excerpts
Highly Influenced

Illumination invariant intensity-based image registration using chaos theory

2013 IEEE International Conference on Acoustics, Speech and Signal Processing • 2013

Variational model for robust computation of optical flow under varying illumination

2010 IEEE 9th International Conference on Cyberntic Intelligent Systems • 2010
View 1 Excerpt

Chaotic Phenomena from Motion in Image Sequences

2007 International Joint Conference on Neural Networks • 2007
View 3 Excerpts

Exploiting Multi-Fractal and Chaotic Phenomena of Motion in Image Sequences: Foundations

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 • 2007
View 2 Excerpts

The Effects of Motion and Spatio-temporal Non-uniform Illumination on Image-pair Joint Scattergrams

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings • 2006
View 2 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Determining motion fields under non-uniform illumination

Pattern Recognition Letters • 1995
View 7 Excerpts
Highly Influenced

Field theory approach for determining optical flow

Pattern Recognition Letters • 1991
View 7 Excerpts
Highly Influenced

Determining Optical Flow

Artif. Intell. • 1981
View 5 Excerpts
Highly Influenced

Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence • 1987
View 4 Excerpts
Highly Influenced

Differential techniques for optical flow

A. Verri, F. Girosi, V. Tore
J. Opt. Soc. Am. A7 (1990) 912–922. 319 L. Zhang et al. / Image and Vision Computing 17 • 1999
View 1 Excerpt

Motion enhancement and visualization of dynamic streamline by pixel-based time-domain filtering of image sequence (submitted)

H. Miike, T. Sakurai, L. Zhang, H. Yamada
320 L. Zhang et al. / Image and Vision Computing 17 • 1999
View 2 Excerpts

Detecting motion and diffusion from a dynamic image sequence

A. Nomura, H. Miike, E. Yokoyama
Trans. of the Institute of Electronics Engineers Japan, 115, • 1995
View 3 Excerpts