Santhosh Kelathodi Kumaran

Madurai Medical College — India

Computer Science · Physical Sciences

6h-index214citations18works0.62yr avg
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Research Topics

Video Surveillance and Tracking Methods(6), Anomaly Detection Techniques and Applications(6), Bayesian Methods and Mixture Models(4), Time Series Analysis and Forecasting(4), Traffic Prediction and Management Techniques(3)

Publications18 total

Efficacy and social validity of intervention using speech generating device and tactile symbols to develop communication and language in a child with visual impairment and additional disability
Disability and Rehabilitation Assistive Technology·2025· 2 cited
Crime-cast forecasting using transform learning for quantized parameters
2025
Evaluating human responses to flexible robotics: The role of speed and proximity in human-robot collaboration
AIP conference proceedings·2025
Leveraging Deep Sequential Convolutional Neural Networks in Digital Transformation for Sustainable E-Waste Management in the New Digital Era
2024
DSA Proficiency Tracker: Personalized Problem Solving and Performance Insights using ReactJS
2024· 1 cited
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture
IEEE Transactions on Intelligent Transportation Systems·2021· 71 cited
Artificial intelligence based muzzle recognition technology for individual identification of animals
The Indian Journal of Animal Sciences·2020· 3 citedOpen Access
Likelihood learning in modified Dirichlet Process Mixture Model for video analysis
Pattern Recognition Letters·2019· 1 cited
Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model
IEEE Transactions on Cybernetics·2019· 20 cited
Computer vision-guided intelligent traffic signaling for isolated intersections
Expert Systems with Applications·2019· 49 cited
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE
arXiv (Cornell University)·2018· 11 citedOpen Access
Queuing theory guided intelligent traffic scheduling through video analysis using Dirichlet process mixture model
Expert Systems with Applications·2018· 22 citedOpen Access
Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos
IEEE Transactions on Intelligent Transportation Systems·2018· 25 citedOpen Access
Trajectory-based Scene Understanding using Dirichlet Process Mixture Model
arXiv (Cornell University)·2018· 1 citedOpen Access
Trajectory-based Scene Understanding using Dirichlet Process Mixture\n Model
arXiv (Cornell University)·2018· 2 citedOpen Access
Dynamic Trajectory Model for Analysis of Traffic States using DPMM.
arXiv (Cornell University)·2018Open Access
Real-Time moving object classification using DPMM for road traffic management in smart cities
2017 IEEE Region 10 Symposium (TENSYMP)·2017· 3 cited
Augmented Reality Application
2014· 3 cited

Frequent Co-authors

Debi Prosad Dogra(11), Partha Pratim Roy(10), B.B. Chaudhuri(4), Adway Mitra(2), Shrohan Mohapatra(1), Byung‐Gyu Kim(1), K. G. Srinivasa(1), Satvik Jagannath(1), P. S. Akash Nidhi(1), S. Tejesh(1), P. S. Girish(1), Kunal Kartikeya(1), PRATHVI PALEKAR(1), Ch. Harikrishna(1), SURESH RATHOD(1), Vineetha Sara Philip(1), P. K. Suryasree(1), Partha Pratim Roy(1), M. Vishleshana(1), M. Basava Prasad(1)