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 **** ** ** ** *******.
  • *** ****** *** ***** **** ******* -- “** ******* [*******] into ***** ** ** *** ******, *** **** ** ** a ******. ******** *** ***** **** **** *** ******** ** the ******* *** ** ****'* **** ****," ********* ****.
  • ******** ****** *********** ******** (****** ** ********* ** ******)
  • * ******** ********* ******* ** ******* ******** *****, **********, * pre-loaded ** *** ** *** ********, *** ****** ***********.

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

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

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

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

******** ******* ****** ****** ** ****** ******* ** ****** ** different ******* ** *** ****** *** *** ** ****** ******* to **** ***** *** ***** *************. ** ** ****** ****** a ******* *****, *** ****** ***** ***** ********* **. ******* frequent ******* **** *** ******* **** ********* *** **** “**** don’t ***** ** *********** ********* ******,” ********* ****. ***** **** of *** ********* **** ******* ******* ******, ****** *** ****** a ********* ** ************** ******* ****.

** **** ***** *** ********* ***** *** ********** ** “******” it *** *** **** ****** ** ******. “******* *** **** in ** ***** *** ***** *** ****** **, *** *** camera **** ‘** *’** *** *** ****** ** **** *** I’m ****** **** ***** ************* *** **** ****** ***.’" ** two ****** ******** ** ****** ******* ******* ******, *** ********** component ***** **** ** *** ** ******** ****** *** **************. They ***** ***** * ****** ********* ********** -- * ****** cannot ** ** *** ****** ** *** ****.

**********

********** ********** ***** ** *********** ** ***** * ****** ****** be, ***** ** ***** ********* ** ******, * ** ************ of *** ******** **** *** ********* “****” *** ***** *******. Even **** * ****** ** *** ************ *********** ** * person, ** *** *******, *** *** ***** *** ** * person ** ** *** ******** **** ** * ****, ********* by * ****** *******. ************ ******* **** ***** ******* **** were *******. *** ********** ***** ** *** ***** ***** ** corridors **** ******* ** *** ******.

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

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

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

“*** **** ** [****** ***** ****** ***********] *** *** **** high *** ***** *** ****** *********** ****** ** ** *** us **** ** *** **** ****** *****,” ********* ****. **** 10 ******* ** *** ** *** ***** ****** ********* ******** usable ****** ***********, *** “** ******** * ********* ** ***** correction **** *** ****’* *** *********. ******* ****** *********** *** system ***** ***** * ****** ****** *** ***** ** ******* of *** ****. *** ********* ***** ****** *********** *** **** to ***** * ****** ****** *** ***** ** ******* ** the ****.

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

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

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

Future *****

"** **** ******* ******** *** ********* ************* ******* – **** project ** ******* ** ***** ** ****** *** **********. ********* there *** ** ******** ***** ** ****** *** *****. **** would **** * *********** ****** ** *********** *** *******," ********* said.

***** *** ** ***** ** ************* *** ******** (********* ** university ****** ** ** ***** ** *** ******** *** *** university), *** ** ***** ** **** ********* *** *********, ********* says.

IPVM ********

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

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

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

Comments (3)

***'* **** **** ****** ******* ** ***?

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

***** **** -*****************.***- (**** *'** ***** ***** **) ***** ** **** ** operational ***** ** *****-****** ********.

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

Login to read this IPVM report.
Why do I need to log in?
IPVM conducts unique testing and research funded by member's payments enabling us to offer the most independent, accurate and in-depth information.

Related Reports on Facial Recognition

Face Recognition Camera Tested (Netatmo) on Jan 29, 2016
Can face recognition make home security "better"? That is the bold claim from startup Netatmo with their Welcome camera. But with face...
Simplicam Facial Recognition Tested on Jan 23, 2015
Facial recognition, available for $150? That's the offer from a startup, Simplicam, who has not only cloned Dropcam setup and user interface but...
Japanese Stores Facial Recognition Sharing on Apr 21, 2014
A controversy is brewing in Japan after a newspaper was tipped off about a practice stores use to combat shoplifting. A network of stores uses...
Debunking Start-Up's FST21 Case Study on Oct 07, 2013
This company won ISC West Best in Show 2 years ago, recently received $5 million in funding and is being talked about as the next big thing in...
The Laziest RFP Ever on Aug 13, 2013
Bad RFPs - out of date, vague or just plain confusing - are common. But this RFP is on a whole other level. It is as if no one even looked at...
3VR Significant Layoffs on Jun 28, 2013
3VR has laid off 15 employees, five of which are from its sales team, IPVM has learned. This leaves the company with a skeleton crew of three sales...
Future of Facial Recognition on May 04, 2013
The Boston Bombings reaffirmed how far facial recognition needs to develop to be an effective surveillance tool. Despite the PR spin jobs, facial...
FAILED: Facial Recognition & Boston Bombing on Apr 20, 2013
Facial recognition vendors have been tripping over themselves to take credit, insert or claim the wonders of their offerings to identify the Boston...
Successful Facial Surveillance Case on Jan 07, 2013
Real time facial surveillance is hard to do - accuracy issues, false alerts, cost and deployment complexity all conspire against it. This is why,...

Most Recent Industry Reports

Sony IP Camera Backdoor Uncovered on Dec 06, 2016
A backdoor has been uncovered in ~80 Sony IP camera models, attackers can remotely enable telnet on the camera, and then potentially login as root,...
Milestone Favorability Results on Dec 06, 2016
In our second installment of manufacturer favorability results (first was Pelco), we turn to Milestone. 100+ integrators rated and explained what...
XiongMai Master Password List Emailed By Chinese Spammer on Dec 05, 2016
XiongMai created an international uproar as their devices drove massive botnet attacks of major Internet sites. After pledging to recall cameras...
Hikvision Cloud Security Vulnerability Uncovered on Dec 05, 2016
A security researcher uncovered a critical vulnerability in Hikvision's global cloud servers. This vulnerability allowed an attacker to remotely...
Door Operators Access Control Tutorial on Dec 05, 2016
Doors equipped with door operators, specialty devices that automate opening and closing, tend to be quite complex. The mechanisms needed to...
Pelco Favorability Results on Dec 02, 2016
This is the first in a series of studies of manufacturer favorability. 100+ integrators rated and explained their views of each manufacturer. We...
Hikvision CEO Declares 'We Do Not Cut Rates" on Dec 02, 2016
Hikvision has led another press trip to China, and this time Hikvision's CEO is sharing insights into their competitive strategy, including...
Network Security Audit App (March Networks) Examined on Dec 01, 2016
Verifying one's video surveillance devices are locked down against common cybersecurity vulnerabilities is increasing important, as hacks using...
FLIR Acquires Drone Manufacturer For $134M on Dec 01, 2016
FLIR has acquired Prox Dynamics, a Norwegian maker of small military-grade drones, for $134M.  FLIR president Andy Teich provided additional...

The world's leading video surveillance information source, IPVM provides the best reporting, testing and training for 10,000+ members globally. Dedicated to independent and objective information, we uniquely refuse any and all advertisements, sponsorship and consulting from manufacturers.

About | FAQ | Contact