In this article a novel approach to visual tracking called the harmony filter is presented. It is
based on the Harmony Search algorithm, a derivative free meta-heuristic optimisation …

In this paper, a new hybrid algorithm based on moth–flame optimization (MFO) and teaching–
learning-based optimization (TLBO) algorithm named as MFO–TLBO is proposed to …

The improvement of the metaheuristic algorithms is one of the exciting topics to investigators
in current years to resolve the optimisation and engineering problems. One of the population …

Harmony search (HS) was introduced in 2001 as a heuristic population‐based optimisation
algorithm. Since then HS has become a popular alternative to other heuristic algorithms like …

In this paper the inverse heat conduction problem with boundary condition of the third kind is
solved by applying the recently invented Harmony Search algorithm belonging to the group …

In this chapter we present a novel method for tracking an arbitrary target through a video
sequence using the Harmony Search algorithm called the Harmony Filter. The Harmony …

In this paper a novel algorithm, called Counterpoint Harmony Search (CHS), is presented for
the simultaneous denoising and deconvolution of binary images. No prior information about …

A robot's ability to correctly recognise landmarks as ones previously seen is a key feature in
visual navigation algorithms. Each newly captured scene contains multiple visual features …

A digital image stabilization algorithm based on a harmony filter is presented in this paper.
The corner points are extracted from the reference image. A new motion estimation method …

One of the important requirements in the object detection and tracking is the extracting of
efficient features to track the target in video sequence. The feature of colour in image is one …