Context: The demand for protection and security of physical spaces and urban areas
increased with the escalation of terroristic attacks in recent years. We envision with the …

Video anomaly detection plays a critical role for intelligent video surveillance. We present an
abnormal video event detection system that considers both spatial and temporal contexts. To …

This paper addresses issues in object tracking where videos contain complex scenarios. We
propose a novel tracking scheme that jointly employs particle filters and multi-mode …

Smart surveillance systems are used to monitor specific areas, such as homes, buildings,
and borders, and these systems can effectively detect any threats. In this work, we …

In recent years, a large number of cameras have been installed in public spaces as a part of
intelligent video surveillance systems. Such systems are being continuously developed due …

The study of fish populations in their own natural environment is a task that has usually been
tackled in invasive ways which inevitably influenced the behavior of the fish under …

Deep similarity trackers are able to track above real-time speed. However, their accuracy is
considerably lower than deep classification based trackers since they avoid valuable online …

The present invention relates to a method of image processing in an augmented reality
application, comprising the steps of providing at least one image of a real environ ment and …

This paper proposes a novel Bayesian online learning and tracking scheme for video
objects on Grassmann manifolds. Although manifold visual object tracking is promising …

We propose a novel approach for visual tracking based on a particle swarm optimization
(PSO) framework using SIFT feature points correspondence and multiple fragments in a …