Titlebook: Applications of Computational Intelligence; Second IEEE Colombia Alvaro David Orjuela-Ca?ón,Juan Carlos Figueroa-Ga Conference proceedings

ARY

泄露

存心

Framework Comparison of Neural Networks for Automated Counting of Vehicles and Pedestrians 0.97 and 0.90 respectively in the best case, making use of a trained model by default, while for the class people the use of a re-trained model provides better results with precision and recall values of 1 and 0.82.

ALLEY

Accelerating Video Processing Inside Embedded Devices to Count Mobility ActorsVINO toolkit and overclock of hardware. The use of SSD-Mobilenet’s model generates different results in terms of accuracy and time of video processing in the system. Results show that the use of an embedded device in combination with a VPU and video processing techniques reach 18.62 Frames per Secon

kyphoplasty

FLIP

Classification of Satellite Images Using Rp Fuzzy C Meansby new term that was integrated into the NFCC algorithm (New Fuzzy Centroid Cluster)..For the tests, we use the internal validity of the cluster to compare the algorithms. Using the index we measure the characteristics of the segmentation and corroborate them with the final visual results. Therefore

obstruct

Acquisition System Based in a Low-Cost Optical Architecture with Single Pixel Measurements and RGB S1?dB and 20.44?dB respectively, also obtained a performance similar to an architecture that combine the SPC and RGB, and even besting it improving the quality of the image in terms of PSNR up?to 0.49?dB. Moreover, the optical architecture proposed has the advantage of reducing the amount of sensed i

皮薩

Integration of an Adaptive Cellular Automaton and a Cellular Neural Network for the Impulsive Noise can be performed. The results for the noise elimination present a restoration of the image that oscillates between . and ., indicating that the image does not lose its quality despite being exposed to high noise levels, similarly it occurs for the edge detection, which presents an approximate effic

欺騙世家

Sweet Citrus Fruit Detection in Thermal Images Using Fuzzy Image Processingtabase was created with images of sweet orange acquired in the Maringá Farm. The validation process indicated that the variation of the tree branch and the fruit temperature is not very high, making it difficult to segment the images using a temperature threshold. Errors in the segmentation algorith

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