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 …

In this paper, a novel object contour tracking framework integrating independent multi-
feature fusion object rough location and region-based temporal differencing model is …

This paper presents a particle filter-based visual tracking method with online feature
selection mechanism. In color-based particle filter algorithm the weights of particles do not …

This paper presents a novel particle filter called Motion-Adaptive Particle Filter (MAPF) to
track fast-moving objects that have complex dynamic movements. The objective was to …

Particle filter is a powerful tool for visual tracking based on Sequential Monte Carlo
framework. However, it is faced with a fatal problem due to its suboptimal sampling …

Multiple objects tracking is a challenging task. This article presents an algorithm which can
detect and track multiple objects, and update target model automatically. The contributions …

Tracking of moving objects in video sequences is an important research problem because of
its many industrial, biomedical, and security applications. Significant progress has been …

Moving target tracking is the key part of intelligent visual surveillance system. Among the
various tracking algorithms, the Beysian tracking algorithms and the kernel tracking …

The tracking of moving objects in video sequences, also known as visual tracking, involves
the estimation of positions, and possibly velocities, of these objects. Visual tracking is an …

We present a servo control model in a particle filter to realize robust visual object tracking
using Pan-Tilt-Zoom (PTZ) camera. The particle filter method has attracted much attention …