Search Results for author: Xinhua Zeng

Found 3 papers, 1 papers with code

Configurable Spatial-Temporal Hierarchical Analysis for Flexible Video Anomaly Detection

no code implementations12 May 2023 Kai Cheng, Xinhua Zeng, Yang Liu, Tian Wang, Chengxin Pang, Jing Teng, Zhaoyang Xia, Jing Liu

Since the anomaly set is complicated and unbounded, our STHA can adjust its detection ability to adapt to the human detection demands and the complexity degree of anomaly that happened in the history of a scene.

Anomaly Detection Human Detection +2

LGN-Net: Local-Global Normality Network for Video Anomaly Detection

1 code implementation14 Nov 2022 Mengyang Zhao, Xinhua Zeng, Yang Liu, Jing Liu, Di Li, Xing Hu, Chengxin Pang

Existing unsupervised VAD methods tend to learn normality from training sets consisting of only normal videos and regard instances deviating from such normality as anomalies.

Anomaly Detection Video Anomaly Detection

Exploiting Spatial-temporal Correlations for Video Anomaly Detection

no code implementations2 Nov 2022 Mengyang Zhao, Yang Liu, Jing Li, Xinhua Zeng

Video anomaly detection (VAD) remains a challenging task in the pattern recognition community due to the ambiguity and diversity of abnormal events.

Anomaly Detection Generative Adversarial Network +1

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