Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

We propose a novel tracking algorithm that can work robustly in a challenging scenario such
that several kinds of appearance and motion changes of an object occur at the same time …

Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled
Machine Vision) clearly and systematically presents the basic methodology of computer and …

A new method for real time tracking of non-rigid objects seen from a moving camera is
proposed. The central computational module is based on the mean shift iterations and finds …

Traditional views of visual processing suggest that early visual neurons in areas V1 and V2
are static spatiotemporal filters that extract local features from a visual scene. The extracted …

Pedestrian detection is a rapidly evolving area in computer vision with key applications in
intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to …

In this self-contained survey/review paper, we systematically investigate the roots of
Bayesian filtering as well as its rich leaves in the literature. Stochastic filtering theory is …

We propose a novel tracking framework called visual tracker sampler that tracks a target
robustly by searching for the appropriate trackers in each frame. Since the real-world …

Automatic analysis of human facial expression is a challenging problem with many
applications. Most of the existing automated systems for facial expression analysis attempt to …

We present an approach that incorporates appearance-adaptive models in a particle filter to
realize robust visual tracking and recognition algorithms. Tracking needs modeling …