LPCF-YOLO: A YOLO-Based Lightweight Algorithm for Pedestrian Anomaly Detection with Parallel Cross-Fusion

To address the issue of high complexity in current pedestrian anomaly detection network models, which hinders real-world deployment, this paper proposes a lightweight anomaly detection network called LPCF-YOLO (Lightweight Parallel Cross-Fusion YOLO) based on the YOLOv8n model. Firstly, the FPC-F (F...

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Autori principali:	Peiyi Jia, Hu Sheng, Shijie Jia
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-04-01
Serie:	Sensors
Soggetti:	LPCF-YOLO lightweight feature extraction pedestrian abnormal detection parallel cross-fusion
Accesso online:	https://www.mdpi.com/1424-8220/25/9/2752
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