A probabilistic information system was used to express the uncertainty relationship between objects and attributes.

Existing and potential investors, creditors, and others need probabilistic information to reduce uncertainty in their decision-making, thereby increase expected revenue.

Incorporating intensity distribution and spatial layout, this paper proposes a sequential Monte Carlo probabilistic tracking algorithm using intensity and spatial information.