Suspicious Behavior Detection

Though we currently live in a world with cameras observing us wherever we go, the number of CCTV operators that are monitoring the cameras is so small that hardly any offences are caught through live observations. In the case of a terrorist threat or a physical assault this means the usefulness of the camera network is limited. Automatic detection of suspicious behaviour from camera images is a complex, but more and more feasible task. By only presenting the human operators with camera images showing possible suspicious behaviour, the possibilities of early intervention increase dramatically.

Some example of what AI computer vision algorithms are currently capable of:

• Tracking people / vehicles over multiple camera streams. Unusual paths can be detected and visualized.
• Objects left by people can be detected.
• Group behaviour can be analyzed and classified as alarming or not.
• Detection of specific actions (breaking a window, hitting someone)