1–10 von 10 Ergebnissen
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    Security applications of computer vision

    Sage, K. / Young, S. | IEEE | 1999
    use of image processing and computer vision techniques which were provided as top end bespoke solutions can now be realised using desktop PC ...

    A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation

    Akilan, Thangarajah / Wu, Qingming Jonathan / Safaei, Amin et al. | IEEE | 2020
    , including intelligent transportation and video surveillance. Most of the existing algorithms are based on traditional computer vision techniques ...

    Synthetic Vision-a view in the fog

    Burgess, M.A. / Hayes, R.D. | IEEE | 1993
    needed to fly and land the aircraft. Millimeter-wave radar, infrared sensor, head-up display, and airborne computer processing technologies are ...

    Edge Intelligence Empowered Vehicle Detection and Image Segmentation for Autonomous Vehicles

    Chen, Chen / Wang, Chenyu / Liu, Bin et al. | IEEE | 2023
    speed. Through integrating EI and computer vision technology, video surveillance systems in ITS can improve the processing capability of traffic ...

    Artificial vision in extreme environments for snowcat tracks detection

    Broggi, A. / Fascioli, A. | IEEE | 2002
    Describes the image processing techniques designed to localize the tracks of snowcats for the automation of transportation of goods and ...

    Truck and Trailer Classification With Deep Learning Based Geometric Features

    He, Pan / Wu, Aotian / Huang, Xiaohui et al. | IEEE | 2021
    conventional image processing and computer vision techniques. The developed method groups trucks into subcategories by carefully examining the truck ...

    Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation

    Zhang, Tianya Terry / Jin, Peter J. | IEEE | 2023
    STMap. The model outputs were compared with the previous image processing model and baseline semantic segmentation neural networks. After ...

    Lightweight Real-Time Semantic Segmentation Network With Efficient Transformer and CNN

    Xu, Guoan / Li, Juncheng / Gao, Guangwei et al. | IEEE | 2023
    attracted tremendous attention from computer vision researchers who reformulate the image processing tasks as a sequence-to-sequence prediction but ...

    DMA-Net: DeepLab With Multi-Scale Attention for Pavement Crack Segmentation

    Sun, Xinzi / Xie, Yuanchang / Jiang, Liming et al. | IEEE | 2022
    performed manually by visually inspecting the roads, which is labor-intensive and time-consuming. Therefore, computer-vision-based automated crack ...

    Deep Confidence Propagation Stereo Network

    Zeng, Kai / Wang, Yaonan / Wang, Wei et al. | IEEE | 2023
    Stereo matching depth estimation based on rectified image pairs is of great importance to many computer vision tasks such as vehicle ...