no code implementations • 9 Oct 2018 • Yeqi Liu, Yingyi Chen, Huihui Yu, Xiaomin Fang, Chuanyang Gong
To tackle these aforementioned challenges, we propose a real-time expert system based on computer vision technology and existing surveillance cameras for anomaly detection of aerators, which consists of two modules, i. e., object region detection and working state detection.
Anomaly Detection Cultural Vocal Bursts Intensity Prediction +4