A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …

Due to its simplicity and efficiency, a recently proposed optimization algorithm, Sine Cosine
Algorithm (SCA), has gained the interest of researchers from various fields for solving …

A novel optimization algorithm called hybrid sine–cosine algorithm with teaching–learning-
based optimization algorithm (SCA–TLBO) is proposed in this paper, for solving optimization …

Bat algorithm (BA) is a new meta-heuristic optimization algorithm that is inspired by the
echolocation characteristics of bats with varying pulse rates of emission and loudness. BA …

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 …

In real time moving object tracking, various unconstraint factors such as severe occlusion
and background clutter remain a challenge for develo** an effective yet robust tracking …

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 …

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 …

Grasshopper optimization algorithm (GOA) is a new meta-heuristic optimization algorithm
that it simulates behavior of grasshopper swarms in nature. In this paper, a tracking …

Object detection and tracking one of the most important areas of research due to routine
change in motion of object and variation in scene size, occlusions, appearance variations …