suspicious object detection

Abstract

Nowadays, most public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens safe. This is known as the surveillance system. At the moment, the best solution to reach a safe environment requires a human operator tool to monitor the digital camera images. Even though human is arguably the most intelligent creature in this world, there are still some shortcomings in the existing solution. The adaptation growth of security cameras to survey public areas has caused a digital data explosion that human operators have difficulty to keep up with. Because of these shortcomings, humans keep inventing new discoveries to make the best of it. In order to support this surveillance system, a recognition and tracking system is built in this project to be used in public areas such as train stations or airports. We designed and implemented a system which is able to automatically detect abandoned luggage using the captured videos from the surveillance camera as the input of the system. The system applies image segmentation and image tracking techniques, creates blobs of objects, labels the blobs and finally gives a warning when an abandoned luggage is detected.