Perimeter surveillance system

• US 4,249,207 A
• Filed: 11/26/1979
• Issued: 02/03/1981
• Est. Priority Date: 02/20/1979
• Status: Expired due to Term

• Current Assignee: Senstar Corporation (Mercedes-Benz Group AG)
• Original Assignee: Computing Devices Company
• Inventors: Harman, R. Keith, Patchell, John W.
• Primary Examiner(s): Britton, Howard W.
• Application Number:
  US06/097,551
• Time in Patent Office: 435 Days
• Field of Search: 358/108, 358/105
• US Class Current: 348/152
• CPC Class Codes: G06T 7/20 Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 20/52 Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G08B 13/19602 Image analysis to detect motion of the intruder, e.g. by frame subtraction
• CPC Class Codes: G08B 13/19608 Tracking movement of a target, e.g. by detecting an object predefined as a target, using target direction and or velocity to predict its new position
• CPC Class Codes: G08B 13/19652 Systems using zones in a single scene defined for different treatment, e.g. outer zone gives pre-alarm, inner zone gives alarm

Abstract

Disclosed is an automatic video intrusion detection system. The system monitors a given area such as between two parallel fences. The image of the given area is divided into an array of cells each approximately equal in size to the image of a man. The video for each cell is integrated, digitized and stored in an array. Changes in cell values are detected and tracked so that changes in, say, 3 adjacent cells in a given direction, indicate an intruder. A microcomputer implements a tracking algorithm. Filtering discriminates against light level changes. The system is simpler than a known one which analyzes grey values of thousands of points in a video field.

Claims

1. An automatic video intrusion detection system to detect targets comprising intruders moving more than a predetermined distance in a direction from one side to the other of an area to be monitored, said system comprising a television camera disposed to view a predetermined area which includes said area to be monitored, said television camera supplying a video image of said predetermined area to a preprocessor, said preprocessor having means for dividing into a predetermined number of cells a portion of said video image substantially corresponding to said area to be monitored, means for deriving integrated video intensity values for said cells and means for storing said integrated intensity values in an output buffer, said system further comprising computer means for periodically analyzing the values stored in said buffer to detect changes in said values exceeding a predetermined amount and to track changes in values for consecutive cells indicating movement of a target, said computer activating an alarm if changes in more than a predetermined number of adjacent cells are tracked in said direction.

2. A system as claimed in claim 1 wherein said computer means includes means for filtering in time the data from said output buffer to determine average brightness so that only targets moving at more than a minimum speed will be detected.

3. A system as claimed in claim 2 wherein said predetermined number of cells are arranged in a grid pattern comprising rows and columns.

4. A system as claimed in claim 3 wherein said computer means interprets more than a predetermined number of targets in a row as being a change in lighting conditions rather than an intruder.

5. A system as claimed in claim 3 wherein said computer means computes statistics for each row of cells in the grid pattern comprising mean and standard deviation and provides a target indication when the difference between a cell value and the mean for that row exceeds a set number times the standard deviation.

6. A system as claimed in claim 5 wherein said computer means analyzes cell intensity values corresponding to every fourth to sixth frame of the television camera whereby very fast moving targets are discriminated against.

7. A system as claimed in claim 3 wherein said grid pattern comprises a 5×

14 cell array and the predetermined number of targets is three.

8. A system as claimed in claim 1 wherein said preprocessor comprises an AGC amplifier which feeds the video signals from the television camera to an analog-to-digital (A/D) converter via a filter, said A/D converter feeding, via a gate, one input of a first adder, said first adder having an output which is fed back via a line memory to a second input of said first adder, said gate being controlled by a horizontal cell boundary read only memory (ROM) so that only data from the A/D converter corresponding to the area to be monitored is fed to said first adder, said first adder producing at its output integrated values for each line of a cell which are fed to one input of a second adder, said second adder having an output fed back via a frame memory to a second input of said second adder, said frame memory being controlled by a vertical cell boundary read-only memory to integrate line values from said first adder corresponding to vertical cell boundaries, the output of said second adder being fed to an output buffer which stores integrated intensity values for each cell.

9. A system as claimed in claim 8 wherein said computer means includes means for storing an array I_t of intensity values, means for deriving averaged values of I_t, i.e. I*_t-1, which represents the average brightness value over a period of time, means for obtaining the difference between values of I_t and I*_t-1 and storing them as a difference array, means utilizing the values stored in the difference array for computing statistics comprising the mean and standard deviation, means for comparing the values stored in the difference array with the statistics to detect differences exceeding a predetermined amount which are stored in a detection array.

10. A system as claimed in claim 9 wherein said computer includes means for analyzing the data stored in the detection array to track changes which are then stored in a target array.

11. A system as claimed in claim 7 wherein said preprocessor comprises an AGC amplifier which feeds the video signals from the television camera to an analog-to-digital (A/D) converter via a filter, said A/D converter feeding, via a gate, one input of a first adder, said first adder having an output which is fed back via a line memory to a second input of said first adder, said gate being controlled by a horizontal cell boundary read only memory (ROM) so that only data from the A/D converter corresponding to the area to be monitored is fed to said first adder, said first adder producing at its output integrated values for each line of a cell which are fed to one input of a second adder, said second adder having an output fed back via a frame memory to a second input of said second adder, said frame memory being controlled by a vertical cell boundary read-only memory to integrate line values from said first adder corresponding to vertical cell boundaries, the output of said second adder being fed to an output buffer which stores integrated intensity values for each cell.

12. A system as claimed in claim 11 wherein said computer means includes means for storing an array I_t of intensity values, means for deriving averaged values of I_t, i.e. I*_t-1, which represents the average brightness value over a period of time, means for obtaining the difference between values of I_t and I*_t-1 and storing them as a difference array, means utilizing the values stored in the difference array for computing statistics comprising the mean and standard deviation, means for comparing the values stored in the difference array with the statistics to detect differences exceeding a predetermined amount which are stored in a detection array.

13. A system as claimed in claim 12 wherein said computer includes means for analyzing the data stored in the detection array to track changes which are then stored in a target array.

14. A system as claimed in claim 1, 6 or 10 wherein said area to be monitored is defined by two parallel fences.

15. A system as claimed in claim 1, 3 or 6 including means for testing system performance comprising a fixed test target at the far end of the area to be monitored, said target being divided into a black area and a white area, and means for computing contrast of the images of said black and white areas whereby contrast variations with time provide an indication of changes in atmospheric transmission.

16. A system as claimed in claim 8, 9 or 10 including means for testing system performance comprising a fixed test target at the far end of the area to be monitored, said target being divided into a black area and a white area, and means for computing contrast of the images of said black and white areas whereby contrast variations with time provide an indication of changes in atmospheric transmission.