Due to the significant growth of video data over the Internet, video steganography has
become a popular choice. The effectiveness of any steganographic algorithm depends on …

This paper is motivated by the problem of local motion estimation via robust regression with
linear models. In order to increase the robustness of the motion estimates, we propose a …

Using graphic processing units (GPUs) in parallel with central processing unit in order to
accelerate algorithms and applications demanding extensive computational resources has …

The ability to automatically recognize human faces based on dynamic facial images is
important in security, surveillance and the health/independent living domains. Specific …

For enabling immersive user experiences for interactive TV services and automating camera
view selection and framing, knowledge of the location of persons in a scene is essential. We …

We present an extensive survey of methods for recognizing human interactions and propose
a method for predicting rendezvous areas in observable and unobservable regions using …

This paper presents a new algorithm to track a high number of points in a video sequence in
real-time. We propose a fast keypoint detector, used to create new particles, and an …

Patients with motor neuron disease and most terminal patients cannot use their hands or
arms, and so they need another person for their all needs. However, the mental functions …

This paper describes a robust method for the local optical flow estimation and the KLT
feature tracking performed on the GPU. Therefore we present an estimator based on the L 2 …

Two crucial aspects of general-purpose embedded visual point tracking are addressed in
this paper. First, the algorithm should reliably track as many points as possible. Second, the …