Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Visual-servoing tasks for mobile robots characteristically require the processing of vast amounts of navigational information which can impede the performance of even the most wel...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
: Algorithms for 3D head pose and facial expression tracking using a single camera (monocular image sequences) is presented in this paper. The proposed method is based on a combina...