2023
DOI: 10.3390/s23187750
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Video Global Motion Compensation Based on Affine Inverse Transform Model

Nan Zhang,
Weifeng Liu,
Xingyu Xia

Abstract: Global motion greatly increases the number of false alarms for object detection in video sequences against dynamic backgrounds. Therefore, before detecting the target in the dynamic background, it is necessary to estimate and compensate the global motion to eliminate the influence of the global motion. In this paper, we use the SURF (speeded up robust features) algorithm combined with the MSAC (M-Estimate Sample Consensus) algorithm to process the video. The global motion of a video sequence is estimated accor… Show more

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