Visual object tracking is an active topic in the computer vision domain with applications
extending over numerous fields. The main sub‐tasks required to build an object tracker (eg …

This paper gives the survey of the existing developments of Visual object target tracking
using particle filter from the last decade and discusses the advantage and disadvantages of …

We present a directional-edge-based object tracking system based on a field-programmable
gate array (FPGA) that can process 640× 480 resolution video sequences and provide the …

Robust and real-time moving object tracking is a tricky job in computer vision systems. The
development of an efficient yet robust object tracker faces several obstacles, namely …

Particle filters (PFs) are Bayesian based estimation algorithms with attractive theoretical
properties for addressingwide range of complex applications that are nonlinear and …

The reliability co-design project aims at integrating in a standard hw/sw co-design flow the
elements for achieving a final system able to detect the occurrence of a fault during its …

This research proposes a modified particle filter to increase the accuracy of vehicle tracking
in a noisy and occluded medium. In our proposed method for vehicle tracking, the direction …

Real time object detection and tracking is an important task in various computer vision
applications. For robust object tracking the factors like object shape variation, partial and full …

Resampling is a critical step in Particle Filter (PF) because of particle degeneracy and
impoverishment problems. Independent Metropolis Hasting (IMH) resampling algorithm is a …

Monte Carlo Localization is a widely used approach in the field of mobile robotics. While this
problem has been well studied in the 2D case, global localization in 3D maps with six …