• RAKESH C S
• K P KARTHIK
• ISHWARAPPA HAVIN
• PUNEETH RAJ B S
• MANU Y M

People’s safety in a public place is very important and this can be attained with the help of anomaly detection. This paper presents an approach to automatically detect abnormal activities in crowded scene. In light of this, we are developing a model in deep learning algorithms namely CNN and VGG16. We are collecting the anomaly and normal CCTV videos to build this project. Then we train with those videos with our algorithms to achieve best precision.

CNN, Deep Learning, Anomaly detection, VGG16.

"Anomaly Detection in Videos Using Deep Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.c582-c588, June-2021, Available :http://www.jetir.org/papers/JETIR2106349.pdf

"Anomaly Detection in Videos Using Deep Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppc582-c588, June-2021, Available at : http://www.jetir.org/papers/JETIR2106349.pdf