SIDD2310 / Abnormal-Activity-Detection-Deep-LearningView on GitHub
Abnormal Activity Detection using Deep Learning LRCN is a model that combines CNN and RNN to identify abnormal behavior in videos. With reduced layers, resized frames, and augmented datasets, it achieves an 82% accuracy, making it suitable for real-time applications like surveillance and anomaly detection.
10Sep 22, 2023Updated 2 years ago

Alternatives and similar repositories for Abnormal-Activity-Detection-Deep-Learning

Users that are interested in Abnormal-Activity-Detection-Deep-Learning are comparing it to the libraries listed below

Sorting:

Are these results useful?