A video target detection method based on temporal redundancy

Chuandong Yang; Min Li; Chong Ling; Yibo Gao; Rongchang Wang; Lichuan Xiao

doi:10.1117/12.2622740

27 March 2022 A video target detection method based on temporal redundancy

Chuandong Yang, Min Li, Chong Ling, Yibo Gao, Rongchang Wang, Lichuan Xiao

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121692D (2022) https://doi.org/10.1117/12.2622740
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

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.

Citation Download Citation

Chuandong Yang, Min Li, Chong Ling, Yibo Gao, Rongchang Wang, and Lichuan Xiao "A video target detection method based on temporal redundancy", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121692D (27 March 2022); https://doi.org/10.1117/12.2622740

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