YOLOV8-based brown bear recognition algorithm in Qinghai-Tibet Plateau

Yunpeng Pei; Guoqing Jia; Baofeng Hui; Yingcong Luo

doi:10.1117/12.3053036

21 October 2024 YOLOV8-based brown bear recognition algorithm in Qinghai-Tibet Plateau

Yunpeng Pei, Guoqing Jia, Baofeng Hui, Yingcong Luo

Author Affiliations +

Proceedings Volume 13399, Ninth International Workshop on Pattern Recognition; 1339903 (2024) https://doi.org/10.1117/12.3053036
Event: Ninth International Workshop on Pattern Recognition, 2024, Xiamen, China

Abstract

In order to effectively address the issue of brown bear intrusions in the Qinghai region, we are developing a rapid and accurate response early warning system. In consideration of the cost of promotion, we have adopted a method where the front-end devices collect data and transmit it back to the server for information processing. Since the computational resources of front-end devices are typically limited, This paper decides to optimize and improve the You Only Look Once (YOLO) series of algorithms. Replacing the traditional convolution with AKconv (Alterable Kernel Convolution) as the main structure, Introducing the BiFormer (Bilateral Transformer) attention mechanism in the convolutional part of Detect, to enhance the ability of target feature extraction. And in order to further enhance the effect of feature extraction, concatenating the SAM(Segment Anything Model) before the YOLOV8,to assist YOLOV8 in feature extraction. The improved YOLOV8, compared to the original YOLOV8, precision increased by 1.7.

Citation Download Citation

Yunpeng Pei, Guoqing Jia, Baofeng Hui, and Yingcong Luo "YOLOV8-based brown bear recognition algorithm in Qinghai-Tibet Plateau", Proc. SPIE 13399, Ninth International Workshop on Pattern Recognition, 1339903 (21 October 2024); https://doi.org/10.1117/12.3053036

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