Real Time Abandoned and Removed Objects Detection System

Real-Time Detection of Abandoned and Removed Objects in Complex Environments

We present a new framework to robustly and efficiently detect abandoned and removed objects in complex environments for real-time video surveillance. In our system, the background is modeled by a mixture of Gaussians. Similar to Tian et al. [18], this mixture model is employed to detect the static foreground regions (i.e., static blobs potentially corresponding to abandoned or removed objects) ...

Distinguishing Abandoned and Removed Objects

i DECLARATION I hereby declare that this project is entirely my own work and that it has not been submitted as an exercise for a degree at this or any other university ___________________________________ ________________ Name Date ii Permission to Lend I agree that the Library and other agents of the College may lend or copy this thesis upon request. ___________________________________ ________...

Identifying Abandoned, Moved and Removed Objects in Automated Surveillance Systems

This project is concerned with the classification of long term changes in surveillance scenes, known as static foreground. There has been little work related to the classification of static foreground in surveillance despite its potential role in automatic identification of abandoned bombs and theft. In this project, a thorough literature review of previous techniques was carried out. It was fo...

A Real Time Abandoned Object Detection and Addressing using IoT

Automatic Detection and Tracking of Abandoned Objects

In recent years, visual surveillance has gained importance in security, law enforcement and military applications. Due to the wide use of video surveillance systems, the amount of data that has to be monitored and interpreted has increased enormously. Nowadays, the pure mass of information that has to be handled by the operators of such systems has overgrown their capabilities. It is therefore ...