| dc.contributor.author |
Dalal, Dwip |
|
| dc.contributor.author |
Dasgupta, Anirban |
|
| dc.contributor.other |
7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD) |
|
| dc.coverage.spatial |
India |
|
| dc.date.accessioned |
2024-01-17T15:23:10Z |
|
| dc.date.available |
2024-01-17T15:23:10Z |
|
| dc.date.issued |
2024-01-04 |
|
| dc.identifier.citation |
Dalal, Dwip and Dasgupta, Anirban, "VPTDrone: video processing toolkit for smart surveillance drone", in the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), Bangalore, IN, Jan. 4-7, 2024. |
|
| dc.identifier.uri |
https://doi.org/10.1145/3632410.3632495 |
|
| dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/9679 |
|
| dc.description.abstract |
In today’s rapidly evolving security landscape, surveillance drones play an indispensable role in safeguarding both individuals and property. An intelligent autonomous surveillance drone offers promising solutions to challenges such as robbery prevention, vandalism deterrence, and safety assurance during natural disasters. This work introduces a novel video processing toolkit for surveillance drones that leverages a unified video representation, significantly reducing computational overhead. |
|
| dc.description.statementofresponsibility |
by Dwip Dalal and Anirban Dasgupta |
|
| dc.language.iso |
en_US |
|
| dc.publisher |
Association for Computing Machinery |
|
| dc.subject |
Video anomaly detection |
|
| dc.subject |
Video summarization |
|
| dc.subject |
Object detection |
|
| dc.subject |
Quantization |
|
| dc.subject |
Drone |
|
| dc.title |
VPTDrone: video processing toolkit for smart surveillance drone |
|
| dc.type |
Conference Paper |
|