B.Tech. (Electronics and Computer Engineering), Department of Electronics Technology, Guru Nanak Dev University, Amritsar
JournalPIJST
Volume / Issue1 / 5
Pages12–21
Published31 May 2024
Paper IDPIJST15M24003
Views / Downloads1 / 0
Article summary
Abstract
- Pose estimation is a critical task in computer vision, aiming to determine the spatial positions and orientations of objects or individuals within an image or video. This paper introduces a novel approach to pose estimation that leverages deep learning techniques to achieve high accuracy and robustness in diverse environments. We propose a multi-stage convolutional neural network (CNN) that refines pose predictions through iterative processing, significantly enhancing the precision of keypoint localization. The network architecture is complemented by a loss function designed to handle occlusions and ambiguous poses, ensuring reliable performance even in complex scenes.
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How to cite this article
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh (2024). Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data. Procedure International Journal of Science and Technology, 1(5), 12–21. https://doi.org/10.62796/pijst.2024v1i503
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh. “Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data.” Procedure International Journal of Science and Technology, vol. 1, no. 5, 2024, pp. 12–21. https://doi.org/10.62796/pijst.2024v1i503
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh. “Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data.” Procedure International Journal of Science and Technology 1, no. 5 (2024): 12–21. https://doi.org/10.62796/pijst.2024v1i503
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh (2024) ‘Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data’, Procedure International Journal of Science and Technology, 1(5), pp. 12–21. Available at: https://doi.org/10.62796/pijst.2024v1i503.
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh, “Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data,” Procedure International Journal of Science and Technology, vol. 1, no. 5, pp. 12–21, 2024. https://doi.org/10.62796/pijst.2024v1i503.
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh. Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data. Procedure International Journal of Science and Technology. 2024;1(5):12–21. https://doi.org/10.62796/pijst.2024v1i503.
Rajdeep Singh Sohal, Mohabat Pal Singh, Karunjot Singh. Pose Estimation for Human Activity Recognition Using Deep Learning on Video Data. Procedure International Journal of Science and Technology 2024, 1 (5), 12–21. https://doi.org/10.62796/pijst.2024v1i503.
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The views, opinions and conclusions expressed in this article are those of the author(s). Publication does not imply endorsement by the journal, editorial board or publisher. Responsibility for accuracy, originality and integrity remains with the author(s). Readers should independently evaluate and verify information before application or citation.
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