Video stabilization is an important technique in digital cameras. Its impact increases rapidly
with the rising popularity of handheld cameras and cameras mounted on moving platforms …

In this paper, we present a novel algorithm for fast tracking of generic objects in videos. The
algorithm uses two components: a detector that makes use of the generalised Hough …

We present a novel tracking method for effectively tracking objects in structured
environments. The tracking method finds applications in security surveillance, traffic …

The aim of this paper is to propose an evolutionary particle filter based upon improved
cuckoo search algorithm which will overcome the sample impoverishment problem of …

This paper proposes a novel approach to risk assessment at road intersections. Unlike most
approaches in the literature, it does not rely on trajectory prediction. Instead, dangerous …

Visual tracking represents the basic processing step for most video analytics applications
where the aim is to automatically understand the actions occurring in a monitored scene …

A wide range of software metrics targeting various abstraction levels and quality attributes
have been proposed by the research community. For many of these metrics the evaluation …

Spiking neural networks (SNNs) are considered to be computationally more powerful than
conventional NNs. However, the capability of SNNs in solving complex real-world problems …

In this paper an efficient method of small object localization is proposed that integrates
detection and tracking. The system is initialized using a strong detector and then it locates …

Detection and analysis of events from video sequences is probably one of the most
important research issues in computer vision and pattern analysis society. Before, however …