Satellite video dynamic target tracking method fusing correlation filter and motion estimation

Abstract

The invention discloses a satellite video dynamic target tracking method fusing a correlation filter and motion estimation, and relates to the field of spaceflight earth observation information processing and analysis. The satellite video dynamic target tracking method comprises the steps: obtaining a satellite video, and segmenting the satellite video into continuous single-frame images; selecting a to-be-tracked target from the single-frame image, constructing image features of the target, and inputting the image features into a related filter to obtain the position of the target; performingmotion estimation processing on the position of the target through a trajectory average algorithm and a Kalman filter, and when the Kalman filter is not stable, taking the processing result of the trajectory average algorithm as a motion estimation result; and when the Kalman filter is stable, taking a processing result of the Kalman filter as a motion estimation result. The satellite video dynamic target tracking method is suitable for satellite video ground target tracking, especially when the target is shielded, can still effectively track the target, and can complete multiple applicationssuch as target high-precision tracking, sensitive target real-time positioning and traffic flow monitoring.

Description

technical field [0001] The invention relates to the field of information processing and analysis of spaceflight and earth observation, in particular to a satellite video dynamic target tracking method and device based on correlation filter and motion estimation fusion. Background technique [0002] Satellite video dynamic target tracking means that the initial state of a specified typical dynamic target (vehicle, ship, aircraft, etc.) such as position and size is given in the first frame of the satellite video, and the state of the target in the subsequent video, such as position and speed, is automatically estimated Wait. [0003] Typical targets on the ground in satellite video are vehicles, airplanes, trains, and ships. Due to the limitation of the spatial resolution of the video, these targets are generally small in the image. Many existing tracking algorithms based on template matching or optical flow, etc., because the ground The lack of features of moving targets mak...

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Problems solved by technology

[0003] Typical targets on the ground in satellite video are vehicles, airplanes, trains, and ships. Due to the limitation of the spatial resolution of the video, these targets are generally small in the image. Many existing tracking algorithms based on template matching or optical flow, etc., because the ground The lack of features of moving targets makes it impossible to complete many applications such as high-precision target tracking, real-time positioning of sensitive targets, and traffic flow monitoring.

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