Graph formulation of video activities for abnormal activity recognition

作者：

Highlights：

• Abnormal activity recognition in surveillance videos.

• Graph representation of video activity to incorporate geometric structures along with motion and appearance information.

• Classification of activity graphs using graph kernel SVM in order to detect local abnormal activities.

• Global abnormal activity recognition using bag-of-graphs (BoG).

摘要

Highlights•Abnormal activity recognition in surveillance videos.•Graph representation of video activity to incorporate geometric structures along with motion and appearance information.•Classification of activity graphs using graph kernel SVM in order to detect local abnormal activities.•Global abnormal activity recognition using bag-of-graphs (BoG).

论文关键词：Abnormal activity recognition,Video activity classification,Graph representation of video activity,Graph kernel,Bag-of-graphs (BoG)

论文评审过程：Received 8 June 2016, Revised 18 November 2016, Accepted 2 January 2017, Available online 3 January 2017, Version of Record 6 January 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.01.001