Video surveillance system with rule-based reasoning and...

Image analysis – Applications – Target tracking or detecting

Reexamination Certificate

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C340S541000, C348S143000, C348S169000

Reexamination Certificate

active

07136507

ABSTRACT:
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

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