Video anomaly search in crowded scenes via spatio-temporal motion context

• Main Authors: Cong, Yang, Yuan, Junsong, Tang, Yandong
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering::Data
• 在線閱讀: https://hdl.handle.net/10356/100311; http://hdl.handle.net/10220/17817
• 機構: Nanyang Technological University

Video anomaly detection plays a critical role for intelligent video surveillance. We present an abnormal video event detection system that considers both spatial and temporal contexts. To characterize the video, we first perform the spatiotemporal video segmentation and then propose a new regionbas...