Surveillance system

  • US 5,774,569 A
  • Filed: 12/10/1996
  • Issued: 06/30/1998
  • Est. Priority Date: 07/25/1994
  • Status: Expired due to Fees
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First Claim
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1. An adaptive learn mode method applied to the digital, time tagged, video data of a traffic surveillance system which eliminates or minimizes the need for operator intervention during setup or use of the surveillance system and the surveillance system'"'"'s data processing, wherein the adaptive learn mode method comprises a set of steps to establish and update functions that scale and align a coordinate system defined in object space to that of the coordinate system defined in surveillance camera'"'"'s pixel space, or image plane, so that a-priori limits, boundaries, images and criteria established in object space may be applied to the acquired data in pixel space, wherein the said adaptive learn mode method comprises:

  • a. executing one set of steps if installation site-specific data files are present;

    b. executing a different set of steps if installation site-specific data files are not present and the data processing determines that the parallelism of object motion, or traffic lanes, are within a specified limit, i.e., the slopes of all best fit matrix equations are within the equivalent of some angle implying that an intersection is not present; and

    c. executing a different set of steps if installation site-specific data files are not present and the data processing determines that the parallelism of object motion, or traffic lanes, exceeds a specified limit, i.e., the slopes of all best fit matrix equations equals or exceeds the equivalent of some angle implying that a standard intersection is present.

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