A smart city represents an advanced urban environment that utilizes digital technologies to
improve the well-being of residents, efficiently manage urban operations, and prioritize long …

Recently, attention toward autonomous surveillance has been intensified and anomaly
detection in crowded scenes is one of those significant surveillance tasks. Traditional …

In this paper, we present a new mobile sensing scheme to extract spatiotemporal
information from citizens' Wi-Fi CL (Connection Log) data, and provide a unified suspicious …

With CCTV systems being installed in the transport infrastructures of many cities, there is an
abundance of data to be extracted from the footage. This paper explores the application of …

In the last decade, the number of surveillance cameras has increased significantly, with
much research conducted to automate the process of surveillance, as humans cannot …

This study has been undertaken to investigate and implement multiple detection systems
into a single surveillance system and check whether the input videos may comprise and …

Video surveillance plays an important role in today's generation. Due to its relationship with
image understanding and video analysis, it has been attracting a lot of research in recent …

In the last few years, real-time object detection and tracking technology has been attracting
attention as deep learning technology has been making progress. In particular, such …

The detection of contextual anomalies is a challenging task for surveillance since an
observation can be considered anomalous or normal in a specific environmental context. An …

In recent years, anomaly events detection in crowd scenes attracts many researchers'
attentions, because of its importance to public safety. Existing methods usually exploit visual …