Matches in SemOpenAlex for { <https://semopenalex.org/work/W4382603204> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4382603204 abstract "Pose recognition deals with designing algorithms to locate human body joints in a 2D/3D space and run inference on the estimated joint locations for predicting the poses. Yoga poses consist of some very complex postures. It imposes various challenges on the computer vision algorithms like occlusion, inter-class similarity, intra-class variability, viewpoint complexity, etc. This paper presents YPose, an efficient deep convolutional neural network (CNN) model to recognize yoga asanas from RGB images. The proposed model consists of four steps as follows: (a) first, the region of interest (ROI) is segmented using segmentation based approaches to extract the ROI from the original images; (b) second, these refined images are passed to a CNN architecture based on the backbone of EfficientNets for feature extraction; (c) third, dense refinement blocks, adapted from the architecture of densely connected networks are added to learn more diversified features; and (d) fourth, global average pooling and fully connected layers are applied for the classification of the multi-level hierarchy of the yoga poses. The proposed model has been tested on the Yoga-82 dataset. It is a publicly available benchmark dataset for yoga pose recognition. Experimental results show that the proposed model achieves the state-of-the-art on this dataset. The proposed model obtained an accuracy of 93.28%, which is an improvement over the earlier state-of-the-art (79.35%) with a margin of approximately 13.9%. The code will be made publicly available." @default.
- W4382603204 created "2023-06-30" @default.
- W4382603204 creator A5005818667 @default.
- W4382603204 creator A5018354346 @default.
- W4382603204 creator A5058044915 @default.
- W4382603204 creator A5063338644 @default.
- W4382603204 creator A5074284580 @default.
- W4382603204 date "2023-06-27" @default.
- W4382603204 modified "2023-10-18" @default.
- W4382603204 title "An Efficient Deep Convolutional Neural Network Model For Yoga Pose Recognition Using Single Images" @default.
- W4382603204 doi "https://doi.org/10.48550/arxiv.2306.15768" @default.
- W4382603204 hasPublicationYear "2023" @default.
- W4382603204 type Work @default.
- W4382603204 citedByCount "0" @default.
- W4382603204 crossrefType "posted-content" @default.
- W4382603204 hasAuthorship W4382603204A5005818667 @default.
- W4382603204 hasAuthorship W4382603204A5018354346 @default.
- W4382603204 hasAuthorship W4382603204A5058044915 @default.
- W4382603204 hasAuthorship W4382603204A5063338644 @default.
- W4382603204 hasAuthorship W4382603204A5074284580 @default.
- W4382603204 hasBestOaLocation W43826032041 @default.
- W4382603204 hasConcept C103278499 @default.
- W4382603204 hasConcept C108583219 @default.
- W4382603204 hasConcept C115961682 @default.
- W4382603204 hasConcept C13280743 @default.
- W4382603204 hasConcept C138885662 @default.
- W4382603204 hasConcept C153180895 @default.
- W4382603204 hasConcept C154945302 @default.
- W4382603204 hasConcept C185798385 @default.
- W4382603204 hasConcept C205649164 @default.
- W4382603204 hasConcept C2776401178 @default.
- W4382603204 hasConcept C31972630 @default.
- W4382603204 hasConcept C41008148 @default.
- W4382603204 hasConcept C41895202 @default.
- W4382603204 hasConcept C52102323 @default.
- W4382603204 hasConcept C52622490 @default.
- W4382603204 hasConcept C70437156 @default.
- W4382603204 hasConcept C81363708 @default.
- W4382603204 hasConcept C82990744 @default.
- W4382603204 hasConcept C89600930 @default.
- W4382603204 hasConcept C97931131 @default.
- W4382603204 hasConceptScore W4382603204C103278499 @default.
- W4382603204 hasConceptScore W4382603204C108583219 @default.
- W4382603204 hasConceptScore W4382603204C115961682 @default.
- W4382603204 hasConceptScore W4382603204C13280743 @default.
- W4382603204 hasConceptScore W4382603204C138885662 @default.
- W4382603204 hasConceptScore W4382603204C153180895 @default.
- W4382603204 hasConceptScore W4382603204C154945302 @default.
- W4382603204 hasConceptScore W4382603204C185798385 @default.
- W4382603204 hasConceptScore W4382603204C205649164 @default.
- W4382603204 hasConceptScore W4382603204C2776401178 @default.
- W4382603204 hasConceptScore W4382603204C31972630 @default.
- W4382603204 hasConceptScore W4382603204C41008148 @default.
- W4382603204 hasConceptScore W4382603204C41895202 @default.
- W4382603204 hasConceptScore W4382603204C52102323 @default.
- W4382603204 hasConceptScore W4382603204C52622490 @default.
- W4382603204 hasConceptScore W4382603204C70437156 @default.
- W4382603204 hasConceptScore W4382603204C81363708 @default.
- W4382603204 hasConceptScore W4382603204C82990744 @default.
- W4382603204 hasConceptScore W4382603204C89600930 @default.
- W4382603204 hasConceptScore W4382603204C97931131 @default.
- W4382603204 hasLocation W43826032041 @default.
- W4382603204 hasOpenAccess W4382603204 @default.
- W4382603204 hasPrimaryLocation W43826032041 @default.
- W4382603204 hasRelatedWork W2514274290 @default.
- W4382603204 hasRelatedWork W2546942002 @default.
- W4382603204 hasRelatedWork W2579154055 @default.
- W4382603204 hasRelatedWork W2940661641 @default.
- W4382603204 hasRelatedWork W2969680539 @default.
- W4382603204 hasRelatedWork W2972219788 @default.
- W4382603204 hasRelatedWork W3156786002 @default.
- W4382603204 hasRelatedWork W3213960077 @default.
- W4382603204 hasRelatedWork W4293211451 @default.
- W4382603204 hasRelatedWork W4308191152 @default.
- W4382603204 isParatext "false" @default.
- W4382603204 isRetracted "false" @default.
- W4382603204 workType "article" @default.