An efficient survey of numerous traditional metaheuristic algorithms (MAs) has been
investigated in this paper. Among successful MAs, differential evolution (DE) and particle …

As a result of the widespread adoption of hovercraft systems, the path finding of such
systems has become an essential rule for locating the target with the shortest distance and …

Visual tracking is one of the pre-eminent tasks in several computer vision applications.
Particle filter (PF) is extensively used in visual tracking for intelligent surveillance system …

Moving object tracking is one of the applied fields in artificial intelligence and robotic. The
main objective of object tracking is to detect and locate targets in video frames of real …

This paper proposes a real-time, continuous pedestrian tracking and positioning method
with multiple coordinated overhead-view cameras. First, a discriminative correlation filter …

Performance analysis, as related to sport, is a process underpinned by a systematic analysis
of information, to accelerate the performance of athletes through crafted focused practice …

Many process synthesis and design problems in engineering are actually mixed integer
nonlinear programming problems (MINLP), because they contain both continuous and …

Particle swarm optimization (PSO) is widely used to solve various optimization problems,
such as robotics visual perception and intelligent control under uncertainties, due to its …

Common visual features used in target tracking, including colour and grayscale, are prone to
failure in a confusingly similar-looking background. As the technology of three-dimensional …

Detecting the correct object plays a key role in generating an accurate and precise object
tracking result. In addition, the usage of conventional method still brings the limitation in term …