Video surveillance system with object detection and probability scoring based on object class
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United States of America Patent
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Oct 24, 2006
Grant Date -
May 19, 2005
app pub date -
Aug 12, 2004
filing date -
Nov 17, 2003
priority date (Note) -
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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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