Chapter 16

Using Event Reasoning for Trajectory Tracking

Jianbing Ma,    Bournemouth University, Bournemouth, UK

CCTV systems are broadly deployed in the present world. Despite this, the impact on anti-social and criminal behavior has been minimal. To ensure in-time reaction for intelligent surveillance, it is a fundamental task for real-world applications to determine the trajectory of any interested subject. However, precise video information for subjects (e.g., face information) is not always available, especially in zones without cameras. In these cases, we have to use event reasoning techniques to combine all kinds of dynamic information (e.g., video analytics, card reading results, etc.) as well as background information (e.g., topological ...

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