Md Sohel Rana

Md Sohel Rana

Machine Learning Researcher/Engineer, Data Scientist, PhD in Computer Science

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Pages

Posts

Multi object tracking research trends

2 minute read

Published:

Multiple object tracking approaches…

Tracking objects from video become one of the extensively studied research with the advent of artificial intelligence. The problem is divided into two parts: detection of object in each video frame and association of the same object over time to make the tracking happen.

CVPR 2020 detection paper explanations

2 minute read

Published:

This source paper propose a new type of bounding box pruning technique called set-nms . Conventional nms (non-maximum suppression) over-kills predictions in highly overlapped objects. Because nms is not a learned process of pruning boxes. This paper proposes a model which predicts multiple instance at once, more specifically two boxes at once and after ward set-nms box pruning is used which outputs final selected boxes…

portfolio

publications

Eye Detection And Iris Center Tracking With Eyelashes Occlusion Correction

Published in International Arab Conference on Information Technology, 2013

A realtime eye and iris tracking system using combination of conventional image processing algorithms

Recommended citation: Md Sohel Rana, Md Zahidul Islam, Md Shariful Islam, “Problem Analysis of Multiple Object Tracking System: A Critical Review”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 11, November 2015.
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Problem Analysis of Multiple Object Tracking System: A Critical Review

Published in International Journal of Advanced Research in Computer and Communication Engineering, 2015

A comparative study for multiple object tracking challenges

Recommended citation: Md Zahidul Islam, Md Shariful Islam, Md Sohel Rana, “Problem Analysis of Multiple Object Tracking System: A Critical Review”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, Issue 11, November 2015.
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Efficient multi-cue predictive tracking of multiple similar interacting objects

Published in 2018 Joint 7th International Conference on Informatics, Electronics \& Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision \& Pattern Recognition (icIVPR), 2018

A particle filter based multi-cue similar color object tracking method.

Recommended citation: Rana, Md Sohel, et al. “Efficient multi-cue predictive tracking of multiple similar interacting objects.” 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV).
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Automated repair of fragmented tracks with 1D CNNs

Published in Journal 1, 2020

A 1D CNN based model to fill-in unknown locations of tracking algorithm generated fragmented tracks.

Recommended citation: Md Sohel Rana, Aiden Nibali, Zhen He, Stuart Morgan, “Automated repair of fragmented tracks with 1D CNNs”, Image and Vision computing, 2020
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Selection of object detections using overlap map predictions

Published in Neural Computing and Applications, 2022

An alternative of non-maximum suppression algorithm for selecting detections in crowded scene.

Recommended citation: Md Sohel Rana, Aiden Nibali, Zhen He, “Selection of object detections using overlap map predictions.”, Neural Computing and Application, 2022.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.