Alok Kumar Singh Kushwaha

Orcid: 0000-0003-2928-998X

According to our database1, Alok Kumar Singh Kushwaha authored at least 28 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Detecting video forgery: A machine learning approach for consistency analysis of video frames.
J. Intell. Fuzzy Syst., March, 2024

IRNetv: A deep learning framework for automated brain tumor diagnosis.
Biomed. Signal Process. Control., January, 2024

2023
The power of deep learning for intelligent tumor classification systems: A review.
Comput. Electr. Eng., March, 2023

Recent trends in human activity recognition - A comparative study.
Cogn. Syst. Res., 2023

2022
Human activity recognition by combining external features with accelerometer sensor data using deep learning network model.
Multim. Tools Appl., 2022

Human activity recognition using deep transfer learning of cross position sensor based on vertical distribution of data.
Multim. Tools Appl., 2022

Human Activity Recognition using Ensemble Convolutional Neural Networks and Long Short-Term Memory.
Int. J. Perform. Eng., 2022

A role-entity based human activity recognition using inter-body features and temporal sequence memory.
IET Image Process., 2022

Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm.
Expert Syst. Appl., 2022

Role of Deep Learning in Tumor Malignancy Identification and Classification.
Proceedings of the Computer Vision and Machine Intelligence, 2022

2021
A Dual Stream Model for Activity Recognition: Exploiting Residual- CNN with Transfer Learning.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

2020
Combining CNN streams of dynamic image and depth data for action recognition.
Multim. Syst., 2020

2019
Multi-view recognition system for human activity based on multiple features for video surveillance system.
Multim. Tools Appl., 2019

Depth based enlarged temporal dimension of 3D deep convolutional network for activity recognition.
Multim. Tools Appl., 2019

2018
A Deep Survey on Human Activity Recognition in Video Surveillance.
Proceedings of the 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018

Deep survey on visual object tracking in surveillance environment.
Proceedings of the 2018 IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018

Multiclass Object Recognition and Classification Using Boosting Technique.
Proceedings of the 9th International Conference on Computing, 2018

2017
Multi-view human activity recognition based on silhouette and uniform rotation invariant local binary patterns.
Multim. Syst., 2017

2016
Automatic moving object segmentation methods under varying illumination conditions for video data: comparative study, and an improved method.
Multim. Tools Appl., 2016

Maritime Object Segmentation Using Dynamic Background Modeling and Shadow Suppression.
Comput. J., 2016

2015
A Framework of Moving Object Segmentation in Maritime Surveillance Inside a Dynamic Background.
Trans. Comput. Sci., 2015

Framework for dynamic background modeling and shadow suppression for moving object segmentation in complex wavelet domain.
J. Electronic Imaging, 2015

Multiview human activity recognition system based on spatiotemporal template for video surveillance system.
J. Electronic Imaging, 2015

Weighted Fast Dynamic Time Warping based multi-view human activity recognition using a RGB-D sensor.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015

2013
An approach towards wavelet transform based multiclass object classification.
Proceedings of the Sixth International Conference on Contemporary Computing, 2013

2012
Rule based human activity recognition for surveillance system.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012

Vision based method for object classification and multiple human activity recognition in video survelliance system.
Proceedings of the CUBE International IT Conference & Exhibition, 2012

2011
Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique.
Proceedings of the International Conference on Advances in Computing and Artificial Intelligence, 2011


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