Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highlight these misbehaviours and propose two improvements. A new weight assignment, which avoids sample impoverishment, is presented. Subsequently, the prediction process is enhanced. The proposal has been successfully tes...

Voice over IP (VoIP) is becoming very popular due to the huge range of services that can be implemented by integrating different media (voice, audio, data, etc.). Besides, voice-enabled interfaces for those services are being very actively researched. Nevertheless the impoverishment of voice quality due to packet losses severely affects the speech recognizers supporting those interfaces ([8]). ...

The fate of the Brazilian Amazon is threatened by a new wave of frontier expansion following new infrastructure commitments worth US$40 bn from the federal Government. In a recent paper, alarming rates of deforestation and forest degradation have been predicted, which could be either pessimistic or optimistic depending on the scale of forest disturbance being considered. A more decisive prevent...

Ecological change is often hard to document because of a lack of reliable baseline data. Several recent then-versus-now surveys of temperate forest and grassland communities demonstrate losses of local plant species, but most are based on data from a single site. We resurveyed understory communities in 62 upland forest stands in northern Wisconsin (U.S.A.) for which quantitative baseline data e...

The increasing poverty rate for elderly women is a growing concern in Japan and is generally due to their lifestyle changes and the public pension system based on the pre-1980s (old) lifestyle. At that time, women were expected to get married and become homemakers. Therefore, the public pension system is generous for married women and widows but not for never-married and divorced women. Using a...

Particle filter is a probability estimation method based on Bayesian framework and it has unique advantage to describe the target tracking non-linear and non-Gaussian. In this study, firstly, analyses the particle degeneracy and sample impoverishment in particle filter multi-target tracking algorithm and secondly, it applies Markov Chain Monte Carlo (MCMC) method to improve re-sampling process ...