Combining motion and appearance cues for anomaly detection

作者：

Highlights：

• An algorithm integrating motion and appearance cues for video anomaly detection.

• Motion model uses the “cut-bin” to detect abnormal motions.

• Appearance model uses a spherical boundary to exclude unusual objects.

• Integration of the two cues achieves higher detection rate and fewer false alarms.

摘要

Highlights•An algorithm integrating motion and appearance cues for video anomaly detection.•Motion model uses the “cut-bin” to detect abnormal motions.•Appearance model uses a spherical boundary to exclude unusual objects.•Integration of the two cues achieves higher detection rate and fewer false alarms.

论文关键词：Anomaly detection,Motion model,Appearance model,Support Vector Data Description (SVDD)

论文评审过程：Received 14 April 2015, Revised 14 August 2015, Accepted 7 September 2015, Available online 28 September 2015, Version of Record 27 November 2015.

论文官网地址：https://doi.org/10.1016/j.patcog.2015.09.005