Steven G Howe

US Patent:

7902977, Mar 8, 2011

Filed:

Feb 21, 2008

Appl. No.:

12/035145

Inventors:

Steven Howe - Massapequa NY, US

Assignee:

Honeywell International Inc. - Morristown NJ

International Classification:

G08B 13/00
G08B 13/08

US Classification:

340541, 3405453, 3405454, 340565, 340566

Abstract:

A security apparatus comprising a plurality of sensing elements, each adapted to detect intrusion into protected premises, each sensing element outputs a sensing signal representing a detected event, a signal processing section for examining each sensing signal and outputting a signature for each sensing signal, a computing section for translating each signature into a normalized threat value, ranging from “0” to “1”, modifying each normalized threat values by multiplying a weighting coefficient corresponding to a type of sensing element, storing for a temporary period of time, each modified normalized threat value, and an alarm generating section for adding each of the stored modified normalized threat values, outputting an aggregate threat value and generating an alarm enable signal based upon an analysis of the aggregate threat value.

US Patent:

20120327241, Dec 27, 2012

Filed:

Jun 24, 2011

Appl. No.:

13/168198

Inventors:

Steven J. Howe - Massapequa NY, US

Assignee:

Honeywell International Inc. - Morristown NJ

International Classification:

H04N 7/18
G06K 9/00

US Classification:

348155, 382103, 348E07085

Abstract:

A method and apparatus are provided for detecting human motion. The method includes the steps of a camera collecting video images of a secured area, extracting objects in motion from the collected images; for each extracted object determining an object size, correcting the object size for optical depth perception distortion based upon known or derived geometrical and optical information, for each extracted object determining, an object size, an object aspect ratio, an object speed and object motion path track, comparing the distance corrected object size with a statistical bell curve tuned to nominal human size, comparing aspect ratio to a statistical bell curve tuned to nominal aspect ratio of human proportions including one for walking and one for crawling, comparing object speed to a statistical bell curve tuned to nominal travel speed of a typical human including one for walking and one for crawling and comparing object motion path track against ramp function of absolute distance traveled over time, a method for interactive control to reshape and re-characterize each reference bell curve and motion ramp, determining a respective threat probability for each of the extracted object signatures based upon the corrected object size compared with the bell curve tuned to human size, the aspect ratio compared with the bell curves tuned to both walking and crawling, the object speed compared with the bell curves for walking and crawling and upon sustained motion path over time, summing the respective threat probabilities for each extracted moving object based upon size, aspect ratio, speed and sustained motion path and generating an motion alert upon detecting the summed threat probabilities exceeding a programmable threshold value.