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

• Main Authors: Cong, Yang, Yuan, Junsong, Tang, Yandong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Data
• Online Access: https://hdl.handle.net/10356/100311; http://hdl.handle.net/10220/17817
• Institution: 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...