Method and system for background estimation in localization and tracking of objects in a smart video camera

Abstract

A method for image processing includes detecting within a programmable surveillance video camera one or more objects in a video signal based on an object mask generated from the video signal. A textual representation of at least a portion of the video signal may be generated within the programmable surveillance video camera by utilizing a description definition language (DDL) to indicate characteristics of the detected one or more objects. The object mask may be generated based on a detection field value generated for each pixel in at least a portion of the video signal by comparing a first observation field and a second observation field associated with each of the pixels. The detection field value for each of the pixels may be a Boolean value. An estimated background value may be generated for each of the pixels.

1 - 21 . (canceled) 
     
     
         22 . A method for image processing, the method comprising:
 detecting within a programmable surveillance video camera one or more objects in a video signal based on an object mask generated from said video signal; and   generating within said programmable surveillance video camera a textual representation of at least a portion of said video signal by utilizing a description definition language (DDL) to indicate characteristics of said detected one or more objects.   
     
     
         23 . The method according to  claim 22 , comprising generating said object mask based on a detection field value generated for each pixel in at least a portion of said video signal by comparing a first observation field and a second observation field associated with each of said pixels. 
     
     
         24 . The method according to  claim 23 , wherein said detection field value for each of said pixels is a Boolean value. 
     
     
         25 . The method according to  claim 23 , comprising generating an estimated background value for each of said pixels. 
     
     
         26 . The method according to  claim 22 , wherein said characteristics of said one or more objects comprise one or more of the following: shape, texture, color, motion, sequence name, location, links, and alarm type. 
     
     
         27 . A machine-readable storage having stored thereon, a computer program having at least one code section for image processing, the at least one code section being executable by a machine for causing the machine to perform steps comprising:
 detecting within a programmable surveillance video camera one or more objects in a video signal based on an object mask generated from said video signal; and   generating within said programmable surveillance video camera a textual representation of at least a portion of said video signal by utilizing a description definition language (DDL) to indicate characteristics of said detected one or more objects.   
     
     
         28 . The machine-readable storage according to  claim 27 , comprising code for generating said object mask based on a detection field value generated for each pixel in at least a portion of said video signal by comparing a first observation field and a second observation field associated with each of said pixels. 
     
     
         29 . The machine-readable storage according to  claim 28 , wherein said detection field value for each of said pixels is a Boolean value. 
     
     
         30 . The machine-readable storage according to  claim 28 , comprising code generating an estimated background value for each of said pixels. 
     
     
         31 . The machine-readable storage according to  claim 27 , wherein said characteristics of said one or more objects comprise one or more of the following: shape, texture, color, motion, sequence name, location, links, and alarm type. 
     
     
         32 . A system for image processing, the system comprising:
 one or more processors within a programmable surveillance video camera that enable detecting one or more objects in a video signal based on an object mask generated from said video signal; and   said one or more processors enable generating a textual representation of at least a portion of said video signal by utilizing a description definition language (DDL) to indicate characteristics of said detected one or more objects.   
     
     
         33 . The system according to  claim 32 , wherein said one or more processors enable generating said object mask based on a detection field value generated for each pixel in at least a portion of said video signal by comparing a first observation field and a second observation field associated with each of said pixels. 
     
     
         34 . The system according to  claim 33 , wherein said detection field value for each of said pixels is a Boolean value. 
     
     
         35 . The system according to  claim 33 , wherein said one or more processors enable generating an estimated background value for each of said pixels. 
     
     
         36 . The system according to  claim 32 , wherein said characteristics of said one or more objects comprise one or more of the following: shape, texture, color, motion, sequence name, location, links, and alarm type.