Muhammad Hassan Khan

Orcid: 0000-0002-6145-5848

According to our database1, Muhammad Hassan Khan authored at least 28 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data.
Sensors, 2024

2023
Automatic multi-gait recognition using pedestrian's spatiotemporal features.
J. Supercomput., November, 2023

A comprehensive study on codebook-based feature fusion for gait recognition.
Inf. Fusion, April, 2023

A Comparison of Machine Learning Models for Mapping Tree Species Using WorldView-2 Imagery in the Agroforestry Landscape of West Africa.
ISPRS Int. J. Geo Inf., 2023

2021
A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data.
Sensors, 2021

Exploiting Superpixels for Multi-Focus Image Fusion.
Entropy, 2021

Vision-based approaches towards person identification using gait.
Comput. Sci. Rev., 2021

2020
X-ray image analysis for automated knee osteoarthritis detection.
Signal Image Video Process., 2020

Marker-Based Movement Analysis of Human Body Parts in Therapeutic Procedure.
Sensors, 2020

Multi-Focus Image Fusion: Algorithms, Evaluation, and a Library.
J. Imaging, 2020

Lung Nodule Detection in CT Images Using Statistical and Shape-Based Features.
J. Imaging, 2020

A non-linear view transformations model for cross-view gait recognition.
Neurocomputing, 2020

2019
Spatiotemporal features of human motion for gait recognition.
Signal Image Video Process., 2019

A generic codebook based approach for gait recognition.
Multim. Tools Appl., 2019

Automatic Detection of the Cracks on the Concrete Railway Sleepers.
Int. J. Pattern Recognit. Artif. Intell., 2019

2018
Human activity analysis in visual surveillance and healthcare.
PhD thesis, 2018

Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model.
Sensors, 2018

A computer vision-based system for monitoring Vojta therapy.
Int. J. Medical Informatics, 2018

Using a generic model for codebook-based gait recognition algorithms.
Proceedings of the 2018 International Workshop on Biometrics and Forensics, 2018

Cross- View Gait Recognition Using Non-Linear View Transformations of Spatiotemporal Features.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Vojta-Therapy: A Vision-Based Framework to Recognize the Movement Patterns.
Int. J. Softw. Innov., 2017

Person identification using spatiotemporal motion characteristics.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Gait Recognition Using Motion Trajectory Analysis.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Semi-automatic Segmentation of Scattered and Distributed Objects.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

A Vision-Based Method for Automatic Crack Detection in Railway Sleepers.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2016
Multiple human detection in depth images.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Automatic recognition of movement patterns in the vojta-therapy using RGB-D data.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An automatic vision-based monitoring system for accurate Vojta-therapy.
Proceedings of the 15th IEEE/ACIS International Conference on Computer and Information Science, 2016


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