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This booklet constitutes the completely refereed court cases of the fifteenth foreign convention on complex recommendations for clever imaginative and prescient structures, ACIVS 2013, held in Poznań, Poland, in October 2013. The sixty three revised complete papers have been conscientiously chosen from 111 submissions. the themes coated are aquisition, pre-processing and coding, biometry, category and popularity, intensity, 3D and monitoring, effective implementation and frameworks, low point picture research, segmentation and video analysis.
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Additional resources for Advanced Concepts for Intelligent Vision Systems: 15th International Conference, ACIVS 2013, Poznań, Poland, October 28-31, 2013. Proceedings
33 GHz), together with at least 16 GB RAM. The task of a single object encryption has to be realized completely by the single thread, it was not susceptible to be parallelized. Processing time for a single node (solid line) was equal to the one for the cluster (dot line). On the other hand, processing time on a desktop PC (dashed line) was lower than on two other systems. The node/cluster computations were prepared for parallel processing, thus tasks were organized into separated threads, after algorithm execution the thread supervising mechanism is taken place .
Guerrero2, Juan Romeo2, María Guijarro2, Jesús M. de la Cruz1, and Gonzalo Pajares2 1 Dpt. Computer Architecture and Automatic, Facultad de Informática, Universidad Complutense of Madrid, 28040 Madrid, Spain 2 Dpt. com Abstract. Agronomic images in Precision Agriculture are most times used for crop lines detection and weeds identification; both are a key issue because specific treatments or guidance require high accuracy. Agricultural images are captured in outdoor scenarios, always under uncontrolled illumination.
Processing time increases in proportion to the key complexity and objects dimensions. Both factors do not allow for execute parallel computation of algorithms. Inclusion of a new object or employing a more sophisticated encryption key scheme caused a small reduction of the processing frame rate. 3 Simulations Focused on the Number of Objects Finally, the occurrence of a large number of objects was simulated employing existing supercomputing environment . The test sets contained diﬀerent number of manually deﬁned objects in the visual stream consisting of: 1, 2, 4, 8, 12, 16, 24, 32, 48, 64, 96, 128 or 160 non-overlapped objects.