Abnormal falls in public places have significant safety hazards and can easily lead to
serious consequences, such as trampling by people. Vision-driven fall event detection has …

Visual surveillance is a highly demanded system in various real-time applications for civil
and military sectors. For huge gatherings such as rallies and stadiums, crowd monitoring …

Falls are a significant hazard to human safety and may have a devastating consequences in
a matter of seconds. This is especially true for elderly, since falls are the primary cause of …

Aiming at the problem of low performance of crowd abnormal behavior detection caused by
complex backgrounds and occlusions, this paper proposes a single‐image crowd counting …

Video anomaly detection, an important aspect of intelligent surveillance systems, is an
important challenge to effectively distinguish the appearance and motion differences …

An autoencoder for video anomaly detection task is a type of algorithm with the primary
purpose of learning an “informative” representation of the normal data that can be used for …

Automated abnormal detection system meets the need of society for detecting and locating
anomalies and alerting the operators. In this paper, we proposed a constrained self-adaptive …

Anomaly detection is an important and demanding problem in social harmony. However,
due to the uncertainty, irregularity, diversity and scarcity of abnormal samples, the …