Most of the complex research problems can be formulated as optimization problems.
Emergence of big data technologies have also commenced the generation of complex …

Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs)
have been developed and widely used for solving optimization problems. When applied to …

Computer vision (CV) is a big and important field in artificial intelligence covering a wide
range of applications. Image analysis is a major task in CV aiming to extract, analyze and …

This book provides a complete overview of the concepts, algorithms, and applications
related to background modeling and foreground detection. It presents the top methods and …

Particle swarm optimization (PSO), like other population-based meta-heuristics, is
intrinsically parallel and can be effectively implemented on Graphics Processing Units …

A top end graphics card (GPU) plus a suitable SIMD interpreter can deliver a several
hundred fold speed up, yet cost less than the computer holding it. We give highlights of AI …

GPU-based Parallel Implementation of Swarm Intelligence Algorithms combines and covers
two emerging areas attracting increased attention and applications: graphics processing …

Digital images are often corrupted by impulsive noise during data acquisition, transmission,
and processing. This paper presents a turbulent particle swarm optimization (PSO)(TPSO) …

Graphics processing units (GPUs) have been employed in the critical path of applications in
embedded systems due to the GPUs' programmability, high-performance, and low power …

In this paper, we describe the GPU implementation of a markerless full-body articulated
human motion tracking system from multi-view video sequences acquired in a studio …