The activity will be detected in a video image using Deep Learning technique which is YOLOv6 Convolutional Neural Network (CNN) algorithm. The algorithm will ...
Abstract—Property theft is one of the crimes that increases in which leads to a major concern in Malaysia. Despite of having.
YOLOv3 is used to detect different suspicious activities like bag-snatching, lock-breaking etc and has a very good processing speed as well as good accuracy ...
Usual and Unusual Human Activity Recognition in Video using Deep Learning and ... Suspicious Activity Trigger System using YOLOv6 Convolutional Neural Network.
Suspicious Activity Trigger System using YOLOv6 Convolutional Neural Network ... Activity Detection in Surveillance Video using Discriminative Deep Belief Network.
The authors in [6] detected the existence of a weapon in a scene by collecting over 3900-gun images that were fed into a deep neural network for training and ...
YOLOv6: a single-stage object detection framework dedicated to industrial applications. - meituan/YOLOv6.
Missing: Suspicious Convolutional Neural
Feb 12, 2024 · The paper proposes a security system called Suspicious Activity Trigger System (SATS) that automatically triggers an alarm or alert message upon ...
In this work the notion of Convolution Neural Network is used to detect suspicious or normal activity in an environment, and a system is proposed that sends ...
Missing: Trigger YOLOv6
It used a single convolutional neural network (CNN) to detect objects in images by dividing the image into a grid, making multiple predictions per grid cell, ...