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Color space selection for self-organizing map based foreground detection in video sequences.

, , , , and . IJCNN, page 3347-3354. IEEE, (2014)

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A Neighborhood-Based Competitive Network for Video Segmentation and Object Detection., , , and . ICANN (1), volume 5163 of Lecture Notes in Computer Science, page 877-886. Springer, (2008)Frame Size Reduction for Foreground Detection in Video Sequences., , , , and . CAEPIA, volume 9868 of Lecture Notes in Computer Science, page 3-12. Springer, (2016)Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs., , , and . IEEE Access, (2020)Performance of Deep Learning and Traditional Techniques in Single Image Super-Resolution of Noisy Images., , , , and . ICPR Workshops (6), volume 12666 of Lecture Notes in Computer Science, page 623-638. Springer, (2020)Road Pollution Estimation Using Static Cameras And Neural Networks., , , , and . IJCNN, page 1-7. IEEE, (2018)Saving energy in WSNs with beamforming., , , and . CloudNet, page 255-260. IEEE, (2014)Neural controller for PTZ cameras based on nonpanoramic foreground detection., , , , and . IJCNN, page 404-411. IEEE, (2017)Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting., , , , and . Neurocomputing, (2020)Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm., , , and . Neural Comput. Appl., 35 (26): 18999-19013 (September 2023)A Competitive Neural Network for Multiple Object Tracking in Video Sequence Analysis., , , , and . Neural Process. Lett., 37 (1): 47-67 (2013)