Smart city development with proper use of emerging technologies greatly reduces security
issues, reduces energy waste, saves time, and increases human safety in urban areas …

Video anomaly detection (VAD) involves identifying events or behaviours in video
sequences that deviate from expected patterns. Most VAD models to date focus on seeking …

The wide application of urban outdoor surveillance systems has greatly improved the
efficiency of urban management and social security index. However, most of the existing …

Detection of fallen persons due to, for example, health problems, violence, or accidents, is a
critical challenge. Accordingly, detection of these anomalous events is of paramount …

The use of video surveillance in public spaces--both by government agencies and by private
citizens--has attracted considerable attention in recent years, particularly in light of rapid …

Closed-circuit television (CCTV) systems and surveillance devices have been widely used
for monitoring the real world (eg, streets, lanes, buildings). Illumination of the nature of …

Video surveillance systems have been widely used in public security and urban
management. Following the increasing demand for video surveillance in various countries …

Image annotation and large annotated datasets are crucial parts within the Computer Vision
and Artificial Intelligence fields. At the same time, it is well-known and acknowledged by the …

In order to withstand the ever-increasing invasion of privacy by CCTV cameras and
technologies, on par CCTV-aware solutions must exist that provide privacy, safety, and …

Abstract We introduce Spatial Regular Expressions (SpREs) as a novel querying language
for pattern matching over perception streams containing spatial and temporal data. To …