dc.contributor.advisor |
Raman, Shanmuganathan |
|
dc.contributor.author |
Gunjal, Shrihari |
|
dc.date.accessioned |
2021-10-27T14:12:42Z |
|
dc.date.available |
2021-10-27T14:12:42Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Gunjal, Shrihari (2021). Deep learning approach for image motion deblurring and dense crowd surveillance. Gandhinagar: Indian Institute of Technology Gandhinagar, 66p. (Acc. No.: T00882). |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/7173 |
|
dc.description.statementofresponsibility |
by Shrihari Gunjal |
|
dc.format.extent |
v, 66p.: ill.; hbk.; 30 cm. |
|
dc.language.iso |
en_US |
|
dc.publisher |
Indian Institute of Technology Gandhinagar |
|
dc.subject |
19210106 |
|
dc.subject |
Electrical Engineering |
|
dc.subject |
Electrical Engineering |
|
dc.subject |
Blender Animation |
|
dc.subject |
Blur-video Dataset |
|
dc.subject |
Blur-video Dataset |
|
dc.subject |
Blur-video Dataset |
|
dc.subject |
LSC-CNN Model |
|
dc.subject |
Crowd Counting |
|
dc.subject |
Neural Networks |
|
dc.subject |
Deep Learning |
|
dc.title |
Deep learning approach for image motion deblurring and dense crowd surveillance |
|
dc.type |
Thesis |
|
dc.contributor.department |
Electrical Engineering |
|
dc.description.degree |
M.Tech |
|