Anomaly detection using surveillance videos

Nihal N Urs; Disha Bhat; Jeevanth D; Sheela N; Sanjana S

Anomaly detection using surveillance videos

June 2021

Vol-7, Issue-3

Paper ID: 14686

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Computer Engineering Anomaly Detection surveillance camera

Abstract

The videos captured in CCTV/surveillance cameras are not completely utilized in finding out all the anomalies that happens. We aim to detect any abnormal activities using surveillance camera footage, the abnormal activities can be from robbery, shoplifting, arson to fighting, accidents and shooting.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Nihal N Urs	JSS Science and Technology University
2	Disha Bhat	JSS Science and Technology University
3	Jeevanth D	JSS Science and Technology University
4	Sheela N	JSS Science and Technology University
5	Sanjana S	JSS Science and Technology University

How to Cite

Use the following formats to cite this article in your research.

APA Style

Urs, Nihal N, Bhat, Disha, D, Jeevanth, N, Sheela, & S, Sanjana (2021). Anomaly detection using surveillance videos. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2825-2830.

MLA Style

Urs, Nihal N, et al. "Anomaly detection using surveillance videos." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2825-2830.

IEEE Style

Nihal N Urs, Disha Bhat, Jeevanth D, Sheela N, and Sanjana S, "Anomaly detection using surveillance videos," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2825-2830, 2021.

Vancouver Style

Urs Nihal N, Bhat Disha, D Jeevanth, N Sheela, S Sanjana. Anomaly detection using surveillance videos. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2825-2830.

Harvard Style

Urs, Nihal N, Bhat, Disha, D, Jeevanth, N, Sheela, & S, Sanjana (2021) 'Anomaly detection using surveillance videos', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2825-2830.

Chicago Style

Urs, Nihal N, et al. "Anomaly detection using surveillance videos." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2825-2830.

Turabian Style

Urs, Nihal N, et al. "Anomaly detection using surveillance videos." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2825-2830.