Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …

Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive
estimation of dynamic systems, recently emerged from the random set theoretical framework …

We review some advances of the particle filtering (PF) algorithm that have been achieved in
the last decade in the context of target tracking, with regard to either a single target or …

This paper presents a novel Bayesian method to track multiple targets in an image
sequence without explicit detection. Our method is formulated based on finite set …

This correspondence presents a novel method for simultaneous tracking of multiple non-
stationary targets in video. Our method operates directly on the video data and does not …

The literature on business process reengineering (BPR) has evolved into a strand of
literature which studies organizational change (OC), and more specifically, business …

The motivation of this paper is to provide an overview of the most recent trends and of the
future research directions in color image and video processing. Rather than covering all …

The problem is to estimate the number of radioactive point sources in a specified area and to
estimate their parameters (locations and magnitudes), using measurements collected by a …

Extracting and analyzing subtle motion via optical sensing techniques is becoming a more
important research area within the vibration community. Computer vision approaches and …

This paper considers the problem of multiple human target tracking in a sequence of video
data. A solution is proposed which is able to deal with the challenges of a varying number of …