Sports Events Recognition Using Multi Features and Deep Belief Network
Source abstract
Abstract
In the modern era of a growing population, it is arduous for humans to monitor every aspect of sports, events occurring around us, and scenarios or conditions. This recognition of different types of sports and events has incr... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Video Analysis and Summarization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (25)
Show source-provided references
1. Accuracy of human motion capture systems for sport applications; state-of-the-art review10.1080/17461391.2018.1463397 ↗
2. Exploring temporal consistency for human pose estimation in videos10.1016/j.patcog.2020.107258 ↗
3. Adaptive activity spotting based on event rates
4. Super fast event recognition in internet videos10.1109/TMM.2015.2436813 ↗
5. Hierarchical clustering multi-task learning for joint human action grouping and recognition10.1109/TPAMI.2016.2537337 ↗
6. Complex event detection using joint max margin and semantic features
7. A cognitive semantic-based approach for human event detection in videos, smart innovation
8. Action recognition using form and motion modalities
9. Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities
10. Convolutional transformer network for fine-grained action recognition10.1016/j.neucom.2023.127027 ↗
11. Pulfer · Computer Science and Computer Engineering Undergraduate Honors Thesis · 2019 · 6
12. I. Hayder, A. Younis, and H. Younis, “Digital image enhancement gray scale images in frequency domain,” J. Phys. Conf. Ser., Jul. 2019, pp. 1–6.10.1088/1742-6596/1279/1/012072 ↗
13. Human silhouette extraction using background modeling and subtraction techniques10.3923/itj.2008.155.159 ↗
14. A review of human pose estimation from single image
15. L. Tang, S. Ma, X. Ma, and H. You, “Research on image matching of improved SIFT algorithm based on stability factor and feature descriptor simplification,” Appl. Sci., vol. 12, no. 17, pp. 1–9, 2022.10.3390/app12178448 ↗
16. Corresponding feature extraction algorithm between infrared and visible images using MSER10.3724/SP.J.1146.2010.01111 ↗
17. A FAST-BRISK feature detector with depth information
18. ORB: An efficient alternative to SIFT or SURF
19. Histogram of oriented gradients feature extraction from raw bayer pattern images
20. Can spatiotemporal 3D CNNs retrace the history of 2D CNNs and ImageNet?
21. Workout action recognition in video streams using an attention driven residual DC-GRU network
22. Human action recognition using machine learning in uncontrolled environment
23. Skeleton-split framework using spatial temporal graph convolutional networks for action recognition
24. Classifying YouTube videos based on their quality: A comparative study of seven machine learning algorithms
25. Adaptive pose estimation for gait event detection using context-aware model and hierarchical optimization10.1007/s42835-021-00756-y ↗