Video surveillance system (VSS) tracks situation in certain area, including recognition of
located objects. Multicamera computer vision can be used to achieve high precision of …

Most recognition algorithms for intelligent surveillance system are based on analysis of the
video collected from one camera. Video analysis is also used to compute the internal …

Unmanned aerial vehicles with high quality video cameras are able to provide videos from
50,000 feet up that show a surprising amount of detail on the ground. These videos are …

From the advances in computer vision methods for the detection, tracking and recognition of
objects in video streams, new opportunities for video surveillance arise: In the future …

Smart video surveillance is well suited for a broad range of applications. Moving object
classification in the field of video surveillance is a key component of smart surveillance …

This paper presents a novel event recognition framework in video surveillance system,
particularly for parking lot environment. An event is represented by feature vector that …

Event recognition is one of the most active research areas in video surveillance fields.
Advancement in event recognition systems mainly aims to provide convenience, safety and …

Video cameras are becoming a ubiquitous feature of modern life, useful for surveillance,
crime prevention, and forensic evidence. We cannot solely rely upon human efforts to watch …

We introduce a new large-scale video dataset designed to assess the performance of
diverse visual event recognition algorithms with a focus on continuous visual event …

The need for an automated surveillance system in some aspects of our daily life cannot be
overemphasized. Existing monitoring video cameras are very cheap, but the human …