Multi-Camera Tracking Works?

Author: Carlton Purvis, Published on Jun 27, 2013

Being able to track people across cameras and buildings simply by using cameras and analytics is something of a 'holy grail' for the surveillance industry.

Two researchers from Carnegie Mellon University have developed just such a system that allows them use surveillance cameras to track a person's movements throughout a building, even when they are out of sight of the camera. The set-up combines three different datasets that allow them to tag and identify people and place their movements on a map. In this note, we interview one of the researchers and breakdown how the system works.

**** *****************-* *********** **** ******** ******* **** ******** **** ** **** *****-****** tracking ******* ******* ** ***** *** ****** **** * ****** view ** *** ***** ***********, ***** ** *** *** **** in **** ************ ***********. **** **** ********** ********** ** ************ tracking ****** ** “******* ****** ************.”

*** ***** **** **** **** ***** ** * ******* **** in ****, **** ****** ********* (*** *** ****** ****** *****), many ***** *** * ******** ****** ** **** ******* ****** the ***. ********* *** ** ***** **** **** ***** ************ track ******, **** ******* ****** **** ** ********* **** **** clothing, ********** *** ****** ***********. *********** *** **** ********* **** ****.

*** *** **** *****:

********* ****:

  • *********** ********** ******* **** ***** ********. *** *** ***** *** ******* ranged **** ** ** ** *******.
  • *** ****** *** ***** **** ******* -- “** ******* [*******] **** MPEG2 ** ** *** ******, *** **** ** ** * server. ******** *** ***** **** **** *** ******** ** *** cameras *** ** ****'* **** ****," ********* ****.
  • ******** ****** *********** ******** (****** ** ********* ** ******)
  • * ******** ********* ******* ** ******* ******** *****, **********, * pre-loaded ** *** ** *** ********, *** ****** ***********.

********* ****, “** ****’* ******** **** **** [*********] ** ******* facial *********** ** ****** ********* ** **** ** ********, ** recorded ** ** **** * ********** ** ******** (*******), *** this ** **** ** ***** ** ****. *** **** ***********, it ****** ********** ****.” **** **** **** ** ***** * subject ****** *** ***** ** ******* ** *** ****.  

Multiple **** *******

******** *****

“******** *** ***** ***** *********** **** **** ********** ******** ******** switches **** ******** ****** **** **** ***** ******** *** ***** up. ********** ***** *********** **** **** ** ************** ********* ******,” according ** ***** ***** ******. *********, ***** *** ***** ******* data ********* ** ***** * ****** ********** *** ********.

******** ******* ****** ****** ** ****** ******* ** ****** ** different ******* ** *** ****** *** *** ** ****** ******* to **** ***** *** ***** *************. ** ** ****** ****** a ******* *****, *** ****** ***** ***** ********* **. ******* ******** problem **** *** ******* **** ********* *** **** “**** ***’* dress ** *********** ********* ******,” ********* ****. ***** **** ** the ********* **** ******* ******* ******, ****** *** ****** * challenge ** ************** ******* ****.  

** **** ***** *** ********* ***** *** ********** ** “******” it *** *** **** ****** ** ******. “******* *** **** in ** ***** *** ***** *** ****** **, *** *** camera **** ‘** *’** *** *** ****** ** **** *** I’m ****** **** ***** ************* *** **** ****** ***.’" ** *** people ******** ** ****** ******* ******* ******, *** ********** ********* would **** ** *** ** ******** ****** *** **************. **** ***** added * ****** ********* ********** -- * ****** ****** ** in *** ****** ** *** ****.

**********

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***** ****** **** *** ******** **** ****** ** *** ****** views. *** ****** ******** **** ***, *** ***** ** ********** based ** ***** ****** ***** *** *** **********.

****** ***********

****** ********* *** ********* **** ** ********** ******** **** * person ***** *** ** ********** ** ******** ***** ** ********* trajectory. ** *** **** *** **** **** ********* (****** ***** six ******* ** ********* * ****). ************ **** ****** ****** were **** ******** *** ***** **** *****, *** ******* “**** of *** ******** **** ***** ****** ** ** **** **** walking **** **** ***** ******* ****.” **** ******* *** *** a ***** **** ** * ******’* ****, **** **** ***** verify **** ** *** *** **** ****** ******** ** ********** and ******** *****.

“*** **** ** [****** ***** ****** ***********] *** *** **** high *** ***** *** ****** *********** ****** ** ** *** us **** ** *** **** ****** *****,” ********* ****. **** 10 ******* ** *** ** *** ***** ****** ********* ******** usable ****** ***********, *** “** ******** * ********* ** ***** correction **** *** ****’* *** *********. ******* ****** *********** *** ****** could ***** * ****** ****** *** ***** ** ******* ** *** time. *** ********* ***** ****** *********** *** **** ** ***** a ****** ****** *** ***** ** ******* ** *** ****. 

** *** **** ** ** ***** ********* *** **********, ** a ****** ***** ** **** ********, *** **** ****** ** chance ** **** ***** ** ****. *** ****** *********** ***** us **** ** * ********** **** **** **** *** ** be **** ****** **** ***** ***.”

*** *********** **** ******* **** *** ********* ** “*** ********* in **** ******* ********* ***** **** ****** ***** *** **** color *******,” ********** ******* ** ****** *********** **********, ** ******** trajectory (****** ****** *** ****/*** *********** ** ******** * ****) and *** **** ** *** **** *****.

**** ******* ***** ******* **** **** ** *********** ****** *** ******* *********** **********.

Future *****

"** **** ******* ******** *** ********* ************* ******* – **** project ** ******* ** ***** ** ****** *** **********. ********* ***** are ** ******** ***** ** ****** *** *****. **** ***** need * *********** ****** ** *********** *** *******," ********* ****. 

***** *** ** ***** ** ************* *** ******** (********* ** university ****** ** ** ***** ** *** ******** *** *** **********), but ** ***** ** **** ********* *** *********, ********* ****. 

IPVM ********

********* **** ******* ***** **** *** *********** **** *** ** mind **** **** ******* ***** ********. *** ******** ****** ***** be * *** ** **** **** ** ******** *** ***** wander *** ** ** **** ***** ****** *** ** **** of * ******* *********. **** ********** ***** ** ********** ** environments **** ******** ***** ***** ****** **** ** ** ********* for ****** *** ****** *******, *** **** ** **** ******** areas. *** ***** *********** ** **** **** **** ** **** was ****** ********** **********. *** **** ****** *** ******* *** spent ******** ** ****** ** ****** ******* ** **** *** is ***** ** **** ***** ** *** ********. *********'* ********** could **** **** ********** ******* ** **** ******* ***** **** are ** * ********, *** **** **** ****'* ****'** **** through. Another ********** ** ************** ** ******* ********** **** ***** ** ****** ** ******* *** **** ***** ***** environments ** ***** * ****** ** ********. 

** *** ******** ****, *** ***** ******* ** ****** ******** - ** ****** * **** ***** *****, ******** *********** **** and ********** ***********.

*******, ******** ****** *** ***** ********** **** **** *** ***** conducted ** ****, ** ** ***** ** *********** ** *** how **** ***** ***** **** *** ** ********** ** **** with ******* ********** *** ****** ********** *****.

Comments (3)

Isn't that what camera mapping is for?

Very complexed and commercially not ready perhaps ...

These guys - 20220surveillance.com - (whom I've never heard of) claim to have an operational model of multi-camera tracking.

Screenshot from the video on the splash page above:

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