PERANCANGAN MODEL YOLOv8-LSTM UNTUK DETEKSI GERAKAN ANOMALI
Manual monitoring of CCTV systems for detecting anomalous movements, such as criminal activity, is highly inefficient and prone to human error, thus urging the need for automated surveillance systems. A key research gap is that most object detection models (spatial in nature) fail to understand the...
Salvato in:
| Autori principali: | , , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
STKIP PGRI Situbondo
2026-04-01
|
| Serie: | Edusaintek |
| Soggetti: | |
| Accesso online: | https://www.journalstkippgrisitubondo.ac.id/index.php/EDUSAINTEK/article/view/2092 |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|