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

Author Affiliations +

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE