This paper introduces robust tracking algorithm for fast and erratic moving object.
CAMSHIFT algorithm has less computation and efficient performance for object tracking …

A reliable method for real-time target tracking is presented. The method is based on an
interest point detector and a bank of locally adaptive correlation filters. The point detector is …

This paper introduces robust tracking algorithm for fast and erratic moving object.
CAMSHIFT algorithm has less computation and efficient performance for object tracking …

This thesis work presents the implementation and validation of image processing problems
in hardware to estimate the performance and precision gain. It compares the implementation …

A performance evaluation of several state-of-the-art correlation filters within the context of
target tracking is presented. The filters are tested using an introduced algorithm that is …

A real-time tracking system based on adaptive correlation filtering and state prediction is
proposed. The system is able to estimate at high-rate the position of multiple targets within …

Abstract Visual Trajectory Estimation Device (VTED) is an amalgamation of visual object
tracking algorithms and prediction modelling to estimate the trajectories of projectiles. The …

En el presente trabajo se aborda el problema del seguimiento de objetos, cuyo objetivo es
encontrar la trayectoria de un objeto en una secuencia de video. Para ello, se ha …

Most existing video object detection methods utilize supervised learning to train a
generalized detector to achieve good detection performance on various test datasets …

La evaluación de la eficiencia de un algoritmo de seguimiento de objetos en video es un
desafío en el área de procesamiento de imágenes y adquiere mayor importancia cuando se …