Abstract
The automatic detection of weapons captured by surveillance settings is essential for speeding the otherwise laborious approach. With use of, UCF Crime which is the largest available dataset for automatic visual analysis of anomalies and consists of real-world crime scenes of various categories. In this paper, we introduce HR-Crime, a subset of the UCF-Crime dataset suitable and use a technique for specified object tracking.
Citations
IRE Journals:
Prashant Bhalla , Sachin Garg
"Weapon Detection in Surveillance Video" Iconic Research And Engineering Journals Volume 6 Issue 6 2022 Page 295-298
IEEE:
Prashant Bhalla , Sachin Garg
"Weapon Detection in Surveillance Video" Iconic Research And Engineering Journals, 6(6)
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