Fwd: Body language analysis software spots criminals in the crowd

["Dave Farber" <dave () farber net>]

I agree djf

---------- Forwarded message ---------
From: Bob Frankston <Bob19-0501 () bobf frankston com>
Date: Sun, Mar 19, 2017 at 8:07 PM
Subject: RE: [IP] Body language analysis software spots criminals in the
crowd
To: <dave () farber net>


Detecting “non-standard and potentially dangerous human behavior” is
worrisome. How does society evolve if nonconforming behavior is too-easily
detected. Reminds me of Project Sesame in China to punish nonconforming
behavior.





Bob Frankston

http://Frankston.com

@BobFrankston



*From:* Dave Farber [mailto:farber () gmail com]
*Sent:* Sunday, March 19, 2017 19:42
*To:* ip <ip () listbox com>
*Subject:* [IP] Body language analysis software spots criminals in the crowd






Begin forwarded message:

*From:* Joly MacFie <joly () punkcast com>
*Date:* March 19, 2017 at 6:58:44 PM EDT
*To:* dave <dave () farber net>
*Subject:* *Body language analysis software spots criminals in the crowd*
*Reply-To:* joly () punkcast com


http://rbth.com/science_and_tech/2017/03/17/stop-thief-body-language-analysis-software-spots-criminals-in-the-crowd_721921

The data analysis laboratory at the National Research Nuclear University
MEPhI (Moscow Engineering Physics Institute) has developed software capable
of detecting non-standard and potentially dangerous human behavior. The
program has a variety of potential applications, such as identifying
criminals in crowds.



​<snip>​


The algorithm is capable of identifying a person in a crowd by their gait,
build, and the clothes they are wearing.

“If a person stands far away from the camera, the existing machine vision
systems cannot recognize their face reliably,” Danshin said. “Our approach
supports identification by additional parameters, such as clothes or a
watch strap.”

The software has other potential uses: for example, it can measure time
spent by a shopper in front of a particular display window to assess their
interest in certain items for subsequent targeted advertising.

From sporting fans to hospital patients

The developers say their algorithm can also be used to create a new
generation of interactive simulators for special forces, surgeons or
firefighters. The software would gauge a test subject's reaction time in
stressful situations to help improve efficiency.

The development team is currently testing the algorithm on video recordings
of crowd behavior at soccer games in Germany. The goal is to prevent
dangerous behavior by monitoring the body language of each individual fan
captured on camera. In a separate project, which is being conducted in
Canada, the algorithm is taught to recognize different types of behavior in
hospital patients.

“Ordinary cameras simply record video, and you need a human to watch and
analyze it,” Danshin said. “Machine vision systems can automate this
process by singling out individuals in the crowd, classifying their
behavior and then processing any exceptions.”

U.S. computer scientist Ben Usman believes similar algorithms could be used
in vehicle control systems: “They are capable of predicting the behavior of
pedestrians. The ambient conditions may present a problem though because
the level of lighting and the quality of the camera used will result in
imagery distortions. Creating a system that would be resilient to such
distortions is a huge challenge.”



-- 

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Joly MacFie  218 565 9365 Skype:punkcast
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