Search Results - Advances in Visual Computing

Jia, Y., Abdullah, N. A., Eliza, H., Lu, Q., Si, D., Guo, H., Wang, W. “…Background The integration of deep learning techniques into sports performance analysis has significantly advanced athlete monitoring, motion tracking, and predictive modelling. …”

Karelin, A., Brazhenko, D., Kliukovkin, G., Chernenko, Y. “…Leveraging the device`s advanced spatial computing capabilities, this research addresses the limitations of traditional fitness applications that lack precision for technique-based sports like boxing with visual-only hand tracking. …”

Novikova, N. B., Novikov, A. N., Ivanova, I. G., Belyova, A. N. “…Results and conclusions. The advanced software enables precise identification of ski racers' movements in training and competition settings, providing visual representation of angular features and velocities in joints. …”

Ma, W., Liu, Y., Yi, Q., Liu, X., Xing, W., Zhao, R., Liu, H., Li, R.

Bassek, M., Memmert, D., Rein, R. “…Using floodlight, we show a pipeline to create advanced data analysis and visualization that is interchangeable, reproducible, and requires minimal prior coding experience. …”

Cheng, Z., Li, Z., Luo, Z., Liu, M., D`Alonzo, J., Wang, C. Collective title: “…Advances in Visual Computing…”

Senocak, A., Oh, T.-H., Kim, J., Kweon, I. S.

Achermann, B., Oberhofer, K., Gross, M., Lorenzetti, S.

Bosi, S. “…Thanks to the great advances in computer vision and deep learning, it is nowadays possible to help manual annotators by means of automatic or semi-automatic multimedia analysis techniques. …”

Buffinton, K. W., Shooter, S. B., Thorpe, I. J., Krywicki, J. J. “…In particular, laboratory tests are used to determine the first three bending and first two torsional natural frequencies and modal damping ratios for eight snowboards from two manufacturers. Computer models are developed using the software packages Pro/ENGINEER and Pro/MECHANICA that accurately reproduce the experimentally measured natural frequencies and that facilitate visualization of mode shapes. …”

Hachaj, T., Ogiela, M. R., Piekarczyk, M., Koptyra, K.

Wang, J., Wu, J., Cao, A., Zhou, Z., Zhang, H., Wu, Y.

Wu, E., Piekenbrock, M., Nakumura, T., Koike, H.

Yan, M., Zhao, Y., Liu, M., Kong, L., Dong, L. “…Multi-camera target tracking is a research hot spot in the field of computer vision. Because the field of view covered by the fixed monocular camera is limited, it cannot continuously track fast-moving targets for a long time, such as the video sequence of skaters` short-track speed skating. …”

Straczkiewicz, M., Urbanek, J., Harezlak, J. “…The graphical user interface provided enables efficient exploration of the acceleration signals without advanced computational skills. RADVis allows plotting of the tri-axial data, vector magnitude, and statistical summaries of the subsets of up to two different signals. …”

Elanattil, S. “…A robust solution to this problem is necessary for a broad range of applications, including computer animation, visual effects, sports analytics, health care, and biomechanics. …”

Zhou, L.

Ribeiro, C., dos Anjos, K. R., Fernandes, C. .

El Raheb, K., Kasamoulis, A., Katifori, A., Rezkalla, M., Ioannidis, Y.

Fister, I., Fister Jr., I., Fister, D. “…Applications of Computational Intelligence in Sports Generating Training Plans Based on Existing Sports Activities Adaptation of Training Plans BatMiner for Identifying the Characteristics of Athletes in Training Visualization of Sports Activities Created by Wearable Mobile Devices Sports Nutrition…”