Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments

• Kolejni autorzy: Woźniak, Marcin (Redaktor)
• Format: Elektroniczne Rozdział
• Język: angielski
• Wydane: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Hasła przedmiotowe: Information technology industries; Traffic sign detection and tracking (TSDR); advanced driver assistance system (ADAS); computer vision; 3D convolutional neural networks; machine learning; CT brain; brain hemorrhage; visual inspection; one-class classifier; grow-when-required neural network; evolving connectionist systems; automatic design; bio-inspired techniques; artificial bee colony; image analysis; feature extraction; ship classification; marine systems; citrus; pests and diseases identification; convolutional neural network; parameter efficiency; vehicle detection; YOLOv2; focal loss; anchor box; multi-scale; deep learning; neural network; generative adversarial network; synthetic images; tool wear monitoring; superalloy tool; image recognition; object detection; UAV imagery; vehicular traffic flow detection; vehicular traffic flow classification; vehicular traffic congestion; video classification; benchmark; semantic segmentation; atrous convolution; spatial pooling; ship radiated noise; underwater acoustics; surface electromyography (sEMG); convolution neural networks (CNNs); hand gesture recognition; fabric defect; mixed kernels; cross-scale; cascaded center-ness; deformable localization; continuous casting; surface defects; 3D imaging; defect detection; object detector; object tracking; activity measure; Yolo; deep sort; Hungarian algorithm; optical flows; spatiotemporal interest points; sports scene; CT images; convolutional neural networks; hepatic cancer; visual question answering; three-dimensional (3D) vision; reinforcement learning; human-robot interaction; few shot learning; SVM; CNN; cascade classifier; video surveillance; RFI; artefacts; InSAR; image processing; pixel convolution; thresholding; nearest neighbor filtering; data acquisition; augmented reality; pose estimation; industrial environments; information retriever sensor; multi-hop reasoning; evidence chains; complex search request; high-speed trains; hunting; non-stationary; feature fusion; multi-sensor fusion; unmanned aerial vehicles; drone detection; UAV detection; visual detection; n/a
• Dostęp online: DOAB: download the publication; DOAB: description of the publication

Recent years have seen a vast development in various methodologies for object detection and feature extraction and recognition, both in theory and in practice. When processing images, videos, or other types of multimedia, one needs efficient solutions to perform fast and reliable processing. Computa...