Mk Bashar

(517)303-9305

4904 Belle Chase Blvd

Lansing, MI 48910

I am a Ph.D. student in the 3D Vision Lab, Department of Computer Science and Engineering at Michigan State University, East Lansing, Michigan. I am advised by Dr. Daniel Morris and Dr. Xiaoming Liu. My research interests include computer vision, and Smart Agriculture. I am particularly interested in 3D vision, autonomous driving, and 3D scene flow estimation.

I am looking for summer internship opportunities in 2024.

Previously, I received my B.Sc. degree in Computer Science and Engineering from Islamic University of Technology, Bangladesh in 2023. I was advised by Dr. Md. Hasanul Kabir and Md. Bakhtiar Hasan. I was also a member of Computer Vision Lab (CVLab). I along with my team worked on Multiple Object Tracking (MOT).

News

Aug 16, 2023	I started my Ph.D. in Computer Science and Engineering at Michigan State University.

Selected Publications

Multiple object tracking in recent times: a literature review

Mk Bashar, Samia Islam, Kashifa Kawaakib Hussain, Md Bakhtiar Hasan, ABM Rahman, and Md Hasanul Kabir

arXiv preprint arXiv:2209.04796, 2022

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Multiple object tracking gained a lot of interest from researchers in recent years, and it has become one of the trending problems in computer vision, especially with the recent advancement of autonomous driving. MOT is one of the critical vision tasks for different issues like occlusion in crowded scenes, similar appearance, small object detection difficulty, ID switching, etc. To tackle these challenges, as researchers tried to utilize the attention mechanism of transformer, interrelation of tracklets with graph convolutional neural network, appearance similarity of objects in different frames with the siamese network, they also tried simple IOU matching based CNN network, motion prediction with LSTM. To take these scattered techniques under an umbrella, we have studied more than a hundred papers published over the last three years and have tried to extract the techniques that are more focused on by researchers in recent times to solve the problems of MOT. We have enlisted numerous applications, possibilities, and how MOT can be related to real life. Our review has tried to show the different perspectives of techniques that researchers used overtimes and give some future direction for the potential researchers. Moreover, we have included popular benchmark datasets and metrics in this review.
@article{bashar2022multiple, title = {Multiple object tracking in recent times: a literature review}, author = {Bashar, Mk and Islam, Samia and Hussain, Kashifa Kawaakib and Hasan, Md Bakhtiar and Rahman, ABM and Kabir, Md Hasanul}, journal = {arXiv preprint arXiv:2209.04796}, year = {2022}, doi = {10.48550/arXiv.2209.04796}, url = {https://arxiv.org/abs/2209.04796}, dimensions = {true} }