Aiming at the problems of poor real-time performance of image target detection algorithm in airborne video and unused inter frame redundancy features, this paper proposes OFYOLOX method. For continuous airborne video, the key frame and non key frame are distinguished, and the YOLOX target detection algorithm without anchor box is used on the key frame, which improves the adaptability and simplicity of various targets; ON non-key frames optical flow estimation and feature transformation are used to obtain detection features, which achieves higher real-time requirements and the accuracy is 85.1%. It provides a reference for airborne video target detection.
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