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A deep learning pipeline for Indian dance style classification

https://doi.org/10.1117/12.2309445
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Visual Analysis of Humans: Looking at People
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
inferredcites →https://doi.org/10.1007/978-3-540-24673-2_3openalex-snapshot
High Accuracy Optical Flow Estimation Based on a Theory for Warping
inferredcites →https://doi.org/10.1016/j.cviu.2016.03.013openalex-snapshot
Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
inferredcites →https://doi.org/10.1016/j.image.2018.09.003openalex-snapshot
TS-LSTM and temporal-inception: Exploiting spatiotemporal dynamics for activity recognition
inferredcites →https://doi.org/10.1016/j.patcog.2015.03.006openalex-snapshot
Semantic human activity recognition: A literature review
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2015.7298676openalex-snapshot
Finding action tubes
inferredcites →https://doi.org/10.1109/cvpr.2016.511openalex-snapshot
Convolutional Pose Machines
inferredcites →https://doi.org/10.1109/iccv.2013.396openalex-snapshot
Towards Understanding Action Recognition
inferredcites →https://doi.org/10.1109/iccv.2013.441openalex-snapshot
Action Recognition with Improved Trajectories
inferredcites →https://doi.org/10.1109/iccv.2015.368openalex-snapshot
P-CNN: Pose-Based CNN Features for Action Recognition
inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-snapshot
Recognizing human actions: a local SVM approach
inferredcites →https://doi.org/10.1109/isfee.2014.7050594openalex-snapshot
Automatic building identification and features extraction from aerial images: Application on the historic 1866 square of Chania Greece
inferredcites →https://doi.org/10.1109/tcsvt.2011.2135290openalex-snapshot
Recognizing Human Action at a Distance in Video by Key Poses
inferredcites →https://doi.org/10.1109/tii.2013.2245910openalex-snapshot
Building Recognition Using Local Oriented Features
inferredcites →https://doi.org/10.1109/tpami.2007.70711openalex-snapshot
Actions as Space-Time Shapes
inferredcites →https://doi.org/10.1109/tpami.2009.43openalex-snapshot
Human Action Recognition by Semilatent Topic Models
inferredcites →https://doi.org/10.1109/tpami.2016.2599174openalex-snapshot
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
inferredcites →https://doi.org/10.1109/wacv.2012.6163050openalex-snapshot
Indian Classical Dance classification by learning dance pose bases
inferredcites →https://doi.org/10.1109/waina.2015.38openalex-snapshot
Shape and Motion Features Approach for Activity Tracking and Recognition from Kinect Video Camera
inferredcites →https://doi.org/10.1145/1922649openalex-snapshot
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1162/neco.1989.1.4.541openalex-snapshot
Backpropagation Applied to Handwritten Zip Code Recognition
inferredcites →https://doi.org/10.1177/1420326x12469714openalex-snapshot
Human Activity Recognition via Recognized Body Parts of Human Depth Silhouettes for Residents Monitoring Services at Smart Home
inferredcites →https://doi.org/10.1260/2047-4970.4.2.209openalex-snapshot
Unsupervised Dance Motion Patterns Classification from Fused Skeletal Data Using Exemplar-Based HMMs
inferredcites →https://doi.org/10.3390/app7010110openalex-snapshot
A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition
inferredcites →https://doi.org/10.48550/arxiv.1212.0402openalex-snapshot
UCF-101: A dataset of 101 human actions classes from videos in the wild
inferredcites →https://doi.org/10.48550/arxiv.1406.2199openalex-snapshot
Two-Stream Convolutional Networks for Action Recognition in Videos
inferredcites →https://doi.org/10.48550/arxiv.1406.2984openalex-snapshot
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
inferredcites →https://doi.org/10.48550/arxiv.1609.08675openalex-snapshot
YouTube-8M: A Large-Scale Video Classification Benchmark
inferredcites →https://doi.org/10.5244/c.28.6openalex-snapshot
Return of the Devil in the Details: Delving Deep into Convolutional Nets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4668896openalex-extracted
Learning Alternating Wavelet Channel and Spatial Attention for Online Video-Based Indian Classical Dance Recognition
inferred← citeshttps://doi.org/10.1007/978-3-030-11935-5_26openalex-snapshot
Skeleton Extraction of Dance Sequences from 3D Points Using Convolutional Neural Networks Based on a New Developed C3D Visualization Interface
inferred← citeshttps://doi.org/10.1007/978-981-15-2449-3_6openalex-snapshot
Stratification of Indian Dance Forms Through Audio Signal
inferred← citeshttps://doi.org/10.1007/s10044-024-01273-0openalex-snapshot
Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention
inferred← citeshttps://doi.org/10.1007/s41870-024-02371-2openalex-snapshot
Alternating wavelet channel and spatial attention mechanism for online video-based Indian classical dance recognition
inferred← citeshttps://doi.org/10.1007/s44163-025-00768-xopenalex-snapshot
Deep learning framework for aesthetic and biomechanical optimization of dance movements
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104091openalex-snapshot
Multi frame multi-head attention learning on deep features for recognizing Indian classical dance poses
inferred← citeshttps://doi.org/10.1038/s41598-025-26035-8openalex-snapshot
Hybrid model integrating LeViT transformer and distillation techniques for pattern detection and dance classification
inferred← citeshttps://doi.org/10.1038/s41598-026-35311-0openalex-snapshot
A deep reinforcement learning approach to dance movement analysis
inferred← citeshttps://doi.org/10.1109/access.2024.3390004openalex-snapshot
Machine Interpretation of Ballet Dance: Alternating Wavelet Spatial and Channel Attention Based Learning Model
inferred← citeshttps://doi.org/10.1109/etcom66606.2025.11437162openalex-snapshot
CNN–KNN Based Framework for Precise Detection of Indian Classical Dances
inferred← citeshttps://doi.org/10.1109/iccv48922.2021.01083openalex-snapshot
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition
inferred← citeshttps://doi.org/10.1109/icscss60660.2024.10625500openalex-snapshot
Efficient Dance Form Identification with CNN and SVM: Analyzing Ballet, Hip-Hop, Bhangra, Popping, and Classical Styles
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400398openalex-snapshot
Precision-Driven Indian Dance Form Detection Using CNN and KNN Models
inferred← citeshttps://doi.org/10.1109/slaai-icai63667.2024.10844944openalex-snapshot
Udarata Dance Pose Detection and Validation Using Computer Vision and Deep Neural Networks: A Comparative Study of Static and Dynamic Approaches
inferred← citeshttps://doi.org/10.1117/12.2309451openalex-snapshot
Laban movement analysis to classify emotions from motion
inferred← citeshttps://doi.org/10.26555/ijain.v9i1.919openalex-snapshot
Who danced better? ranked tiktok dance video dataset and pairwise action quality assessment method
inferred← citeshttps://doi.org/10.3390/app11146253openalex-snapshot
An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms
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