Vehicle target detection method based on the average optical flow

J. Y. Ma; F. R. Jie Sr.; Y. J. Hu Sr.

doi:10.1117/12.2282477

21 July 2017 Vehicle target detection method based on the average optical flow

J. Y. Ma, F. R. Jie Sr., Y. J. Hu Sr.

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042013 (2017) https://doi.org/10.1117/12.2282477
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

Moving target detection in image sequence for dynamic scene is an important research topic in the field of computer vision. Block projection and matching are utilized for global motion estimation. Then, the background image is compensated applying the estimated motion parameters so as to stabilize the image sequence. Consequently, background subtraction is employed in the stabilized image sequence to extract moving targets. Finally, divide the difference image into uniform grids and average optical flow is employed for motion analysis. Experiment tests show that the proposed average optical flow method can efficiently extract the vehicle targets from dynamic scene meanwhile decreasing the false alarm.

Citation Download Citation

J. Y. Ma, F. R. Jie Sr., and Y. J. Hu Sr. "Vehicle target detection method based on the average optical flow", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042013 (21 July 2017); https://doi.org/10.1117/12.2282477

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