Small animal intrusion detection based on RAFT

Xiuguang Li; Ninghui He; Weiyan Sha; Xiu Zhou; Bo Ma; Rui Liu

doi:10.1117/12.3034160

13 June 2024 Small animal intrusion detection based on RAFT

Xiuguang Li, Ninghui He, Weiyan Sha, Xiu Zhou, Bo Ma, Rui Liu

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131804O (2024) https://doi.org/10.1117/12.3034160
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Due to the variety, size and shape of the invasive animals in substation, the general target detection and case segmentation tasks are often faced with the problems of fewer data and lack of diversity. Optical flow estimation can accurately detect the boundary of the moving object through the change of optical flow during the moving process of the object. RAFT can effectively detect boundaries for small animals moving at low speeds. Therefore, RAFT for small animal intrusion detection can not only effectively eliminate the interference of non-invasive objects, but also cancel the range of intrusion targets, and improve the generalization ability of moving object intrusion

Citation Download Citation

Xiuguang Li, Ninghui He, Weiyan Sha, Xiu Zhou, Bo Ma, and Rui Liu "Small animal intrusion detection based on RAFT", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131804O (13 June 2024); https://doi.org/10.1117/12.3034160

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