Rapidly Deployable, Remotely Observable Video Monitoring System

• US 20090102924A1
• Filed: 05/21/2008
• Published: 04/23/2009
• Est. Priority Date: 05/21/2007
• Status: Abandoned Application

• Current Assignee: James W. Masten Jr
• Original Assignee: James W. Masten Jr
• Inventors: Masten, James W. JR.
• Application Number:
  US12/124,549
• Publication Number:
  US 20090102924A1
• Time in Patent Office: Days
• US Class Current: 348/155
• 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 13/19613 Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
• CPC Class Codes: H04N 23/45 for generating image signals from two or more image sensors being of different type or operating in different modes, e.g. with a CMOS sensor for moving images in combination with a charge-coupled device [CCD] for still images
• CPC Class Codes: H04N 23/58 Means for changing the camera field of view without moving the camera body, e.g. nutating or panning of optics or image sensors
• CPC Class Codes: H04N 23/695 Control of camera direction for changing a field of view, e.g. pan, tilt or based on tracking of objects
• CPC Class Codes: H04N 23/698 for achieving an enlarged field of view, e.g. panoramic image capture
• CPC Class Codes: H04N 7/18 Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Abstract

A panoramic imaging threat detection and alert system to automate the detection, localization, tracking and assessment of moving objects within a specified field of view. This system utilizes an array of large-scale imaging chips, an array of reflective lenses coded for computational imaging, passive distance measurement and high-speed processors to determine the characteristics of objects of interest. This system selects moving objects to further evaluate for threat assessment and communicates object size, speed, distance and acceleration to a designated threat assessment center or personnel for further action.

Claims

1. ) An apparatus and method for implementing an automated imaging and threat detection and alert system. Said apparatus and method are based upon a panoramic imaging system and computing to automate the detection, localization, tracking and assessment of moving targets to identify threats and alert designated agencies or personnel. Said apparatus and method comprising:

a) a new technology megapixel imaging chip with extremely small feature size (pixels which are less than 5 micrometers and typically less than 2 micrometers across or on a diagonal), which have the ability to generate images of arbitrary size centered around a point which is programmable on a frame-by-frame basis;

b) a panoramic fixed lens system composed of individual lens elements, each lens element coupled to its own imaging chip;

c) a processor or processors capable of providing at least 1.5 G MACs (Multiple-Add instructions) per imaging chip;

d) a means to implement a method for effective target detection, tracking and assessment using passive ranging technology;

e) a software process for implementing a weighted function to automatically assess detected motion to categorize a hostile threat;

f) a software process for implementing a weighted function to automatically determine when a threat requires an alert to be generated to designated threat assessment and response center or personnel;

g) a software process which implements the alerting function to designated threat assessment and response center or personnel;

h) a means by which multiple alerted or observing personnel will be electronically delivered by wire (or wirelessly) alerting text and appropriately sized still images or video of arbitrary selection from full panoramic to extreme telephoto

i) an apparatus for wired or wireless connectivity to designated threat assessment and response center or personnel;

j) a software process for monitoring the status of a processed alert to ensure appropriate response or acknowledgement.

2. ) The panoramic fixed lens system of claim 1, comprising:

a) an array of multiple imaging chips with the ability to replicate the functions of tilt, pan and zoom with no moving parts through a method of changing the selection (choosing different rows and columns on the imaging surface) of pixels to compose said image, as well as the center point of each image, on a frame-by-frame basis;

b) an array of multiple fixed lenses arranged in a circular arc, associated with said array of multiple imaging chips, located close enough to the array of imaging chips to create an image field composed of the images of many imaging chips arranged radially around the same geometric center;

c) another array, similar to the aforementioned array, displaced vertically to extend the vertical aperture of the panoramic view;

d) an array of multiple fixed lenses where the lenses are refractor lenses;

e) an array of multiple fixed lenses where the lenses are reflector lenses;

f) a method for incorporating computational imaging (e.g, Wave Front Coding) in each of the lenses within said array of fixed lenses, to enable the extension of depth of field and the calculation of distance to subjects within each pixel of the image generated by aforementioned imaging chips.

3. ) The means of claim 1 to create an architecture of processors or processes implemented in a larger array of processing elements providing:

a) a means to coordinate the simultaneous processing of the image outputs of each imaging chip;

b) a means to coordinate the simultaneous processing of the overlapped images to create a working panoramic image surface that accurately represents the entire panoramic scene;

c) a means to coordinate the simultaneous linked processing of successive image surfaces in a First-In, First-Out (FIFO) structure providing a configurable short-term memory for comparison of successive images;

d) a means to coordinate the simultaneous but independent processing of successive image surfaces in short-term memory to detect motion uniformly and simultaneously across the large panoramic scene;

e) a means to coordinate the simultaneous but independent processing of images in short-term memory to make optimum use of computational imaging (e.g., wave front coding) to extend the depth of field of the images and to detect the passive range for each pixel as a means to add detail and accuracy to the detection of motion;

f) a means to coordinate the simultaneous but independent processing of the detected motion to create a schedule of isolated tracks;

g) a means to coordinate the simultaneous but independent processing of detected tracks to create a table of characteristics to include parameters such as a velocity vector, estimate of size, an estimate of center of mass, a measure of ground coupling;

h) a means to coordinate the simultaneous but independent processing of external independent image requests from viewers tasked with augmenting the automated processes of detection and classification;

i) a means to create images of a view as requested by an external reviewer, configurable in pan, tilt, and zoom (create images with a designated center, and a selection of pixels selected from across the imaging surface);

j) a means to create the requested images in various sizes, resolution and frame rate in response to the available bandwidth and urgency.

4. ) The means of claim 1 to implement a method of processing the image surface built using the images generated by the aforementioned imaging chips, for effective target detection, tracking and assessment, said method implemented within multiple software processes, comprising:

a) a method of building an image surface built from the images produced by individual image chips, each attached to an individual fixed lens, each of which is arranged in a geometrically centered array;

b) a method for storing said images as frames in a buffer for use in creating “

video”

or for comparing to other image frames;

c) a method for comparing successive panoramic images, by comparing corresponding blocks of designated size within successive panoramic images, in order to determine whether changes in content have occurred between said successive images;

d) a method for comparing image frames arranged in time-sequenced order as short-term memory, e.g. as a FIFO;

e) a method for adaptively configuring the depth of the FIFO used as short-term memory based on initial configuration, relative activity in the scene, the status of stability of the current “

track”

activities;

f) a method for comparing successive frames within the FIFO to detect changes in content that might be basis for “

motion detection”

;

g) a method for estimating the size of the detection and the apparent center of mass of the detection and creating a map of those values;

h) a method for correlating the content basis for motion detection with the range data per pixel from the computational imaging process across the image surface;

i) a method for evaluation of any said change in content to evaluate whether there has been motion of an object, change in distance, change in size, or change in location of said object;

j) a method for determining speeds and accelerations for any motion detected in aforementioned moving objects;

k) a method for building a map of velocity vectors for each aforesaid moving object on a real-time basis;

l) a method of comparing the detection map of velocity vectors with the map of estimated size and the centers of mass maps to create a detection data map;

m) a method of comparing the data maps to a threshold function process that will categorize the detections as a track, a threat or an alert.

5. ) The means of claim 1 to implement a weighted function algorithm designed to automatically assess motion detected by aforesaid motion detection processes, comprising:

a) a method for assigning values to detected motions of objects, changes in distance to an object, changes of an object'"'"'s apparent size, changes in an object'"'"'s location, changes in the object'"'"'s velocity and the object'"'"'s computed trajectory;

b) a method for processing said values, now called threat assessment components, to an overall weighted value called the “

Threat Assessment Value”

;

c) a method for comparing the Threat Assessment Value to a given threshold to categorize the object as a threat and assigning an identifier to said object.

6. ) The means of claim 1 to implement a weighted function algorithm designed to automatically evaluate threats identified by aforesaid assessment processes to determine if an alert should be generated by the system, a software construction comprising:

a) a method for tracking identified threats against a set of track parameters;

b) a method for assigning values to the deviations of the tracked threats from the “

safe”

track parameters, such a deviating threat will be termed a “

Hostile Threat.”

7. ) The means of claim 1 to implement an alerting function to communicate the detection and classification of a Hostile Threat from the aforesaid threat evaluation process as an alert to a designated second-level response center or personnel, comprising:

a) a method for determining the means and technique of sending the alert;

b) a method for determining the projected latency of the various communication options relative to the seriousness of the alert;

c) a method for determining to which response center or personnel to send said alert depending on the alert level, the available communication options and the capabilities of the response center or personnel;

d) a method for making the optimum selection of message type (i.e. text, still images or video) and communication channel (latency considerations, bandwidth, security);

e) a method for matching the communications selection with the capabilities of the response center or personnel.

8. ) The means of claim 1 for communicating aforesaid alert to the designated response center or personnel as determined by the aforesaid alerting function, comprising:

a) an apparatus for communicating, via wired or wireless link, to stations or access points within the range of said apparatus;

b) a method for encoding said alert for transmission on said apparatus;

c) a method for determining that said transmission was received by the target station or access point

d) a method for reassessing the alert to manage the response status.

9. ) The means of claim 1 to implement a method for processing the image surface built using the images generated by the aforesaid Imaging Subsystem, to effectively create specific images positioned across the panoramic scene in response to requests made by external reviewers to get real-time or near real-time visual data to aid in the prosecution of alerts, comprising:

a) a method to index and position the panoramic image surface relative to GPS and electronic environmental sensors in order to create a relative positioning perspective for external users;

b) a method to create an image with a designated center, of either user-selected size or a size related to the bandwidth of the external requester;

c) a method to implement a “

pan” and

“

tilt’

by changing the location within the imaging surface of the “

point”

around which the chosen image of specified size is centered;

d) a method to implement a “

zoom”

function by changing the selection (choosing different rows and columns on the imaging surface) of pixels to compose said image, by “

skipping”

rows and columns or “

binning”

(averaging) rows and columns;

e) a method for abstracting created images to reduce their bandwidth requirement, when the total data bandwidth requirement of the external users at the same priority level exceeds the capacity of the installed system;

10. ) The means of claim 1 for managing the status of a processed alert to reduce unnecessary communication bandwidth consumption and to maintain alert focus, comprising:

a) a method for monitoring the alert and the maintenance of the Threat activity;

b) a method for monitoring the response center or personnel and the management of the alert;

c) a method for reasserting the alert if the response center or personnel fail to effectively compromise the alert;

d) a method for reassessing the communications means and the selection of the response center or personnel if the processing of the alert does not fall within the allotted alert window.