Modeling of a method of parallel hierarchical transformation for fast recognition of dynamic images
- PDF / 1,424,009 Bytes
- 14 Pages / 595.28 x 793.7 pts Page_size
- 97 Downloads / 155 Views
RESEARCH
Open Access
Modeling of a method of parallel hierarchical transformation for fast recognition of dynamic images Leonid I Timchenko*, Nataliya I Kokryatskaya and Viktoriya V Shpakovych
Abstract Principles necessary to develop a method and computational facilities for the parallel hierarchical transformation based on high-performance GPUs are discussed in the paper. Mathematic models of the parallel hierarchical (PH) network training for the transformation and a PH network training method for recognition of dynamic images are developed. Keywords: Parallel hierarchical (PH) transformation; PH network training; Fast recognition of dynamic images; Normalizing equation; Classification and processing of images of extensive laser routes
1. Introduction Rapidly growing requirements to modern computational media encourage the development of new intelligent methods of information transfer and processing. Rigid requirements to real-time information processing systems force scientists to develop and regularly upgrade data transfer systems. Today, most internet channels cannot provide required quality of data exchange between such systems, leading to the congestion of those channels and formation of so-called digital bottlenecks. Large volumes of information may be transferred easily through a fiberoptic cable, but laying such cable is rather expensive, even on short distances. At the same time, this problem can be solve using laser-based technologies [1-3], one of the most promising models of information transfer for the near future. In this case, for instance, tons of full-length films and virtual worlds could be transferred to any part of the globe in a blink of an eye. Most satellites transmit information, such as TV programs, by means of the microwave radiation, while laserbased information transmission could be hundreds of times faster, considerably increasing a carrying capacity of the channel. The laser-based information transmission requires that both satellite and receiving unit (RU) were positioned * Correspondence: [email protected] Department of the Telecommunication Technologies and Automation, State Economic Technological University of Transport, 19 Lukashevich Street, Kyiv 03049, UkrainŠµ
properly. A position of the RU lens, the diameter of which is only several centimeters, must be adjusted to one thousandth degree, or the information will not be transferred. To operate properly, the system requires that a RU monitors a satellite at all stages of the system operation. For this purpose, an occurrence of laser beam spot (LBS) on images, namely, their geometrical characteristics distorted by the turbulence and air masses, should be predicted accurately. However, significant noise distortion of those images can not only considerably worsen forecast results but also prevent the system from responding adequately to variations in the monitored object location. To solve a problem of the efficient forecast, frames of the LBS image sequence should be classified to filter a laser route from images considerably d
Data Loading...
