This paper describes an approach to human action recognition based on the probabilistic optimization model of body parts using Hidden Markov Model (HMM). Our proposed method is able to distinguish between similar actions by only considering the body parts having major contribution to the actions, for example, legs for walking, jogging and running; hands for boxing, waving and clapping. We apply...

Much of object perception requires the visual system to integrate image information for image features that are separated in space or in time. Thus, in a system capable of working with real-world images, there must exist detectors specialized to respond to illusory percepts. However, to discover a scheme that can account for tasks such as long-range gure completion (and thus illusory gures), ph...

The bin packing problem can be best described in 'transportation' terms: given a set of boxes of different sizes, how should one pack them all into containers of a given size, in order to use as few containers as possible? The task of balancing of (robotized) assembly lines is of considerable industrial importance. It consists of assigning operations from a given set to workstations in a produc...

The Multiple-Wordlength Operation Grouping (MWOG) is a recently used approach for an optimized implementation on a Field Programmable Gate Array (FPGA). By fixing the precision constraint, this approach allows minimizing the data wordlength. In this paper, the authors present the integration of the approach based on the MWOG in the Algorithm Architecture Adequation (AAA) methodology, designed t...

one of the most remarkable basis of the gravity data inversion is the recognition of sharp boundaries between an ore body and its host rocks during the interpretation step. therefore, in this work, it is attempted to develop an inversion approach to determine a 3d density distribution that produces a given gravity anomaly. the subsurface model consists of a 3d rectangular prisms of known sizes ...