Body language analysis software spots criminals in the crowd

["Dave Farber" <farber () gmail com>]

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.”
>
> -- 
> ---------------------------------------------------------------
> Joly MacFie  218 565 9365 Skype:punkcast
> --------------------------------------------------------------
> -



-------------------------------------------
Archives: https://www.listbox.com/member/archive/247/=now
RSS Feed: https://www.listbox.com/member/archive/rss/247/18849915-ae8fa580
Modify Your Subscription: https://www.listbox.com/member/?member_id=18849915&id_secret=18849915-aa268125
Unsubscribe Now: 
https://www.listbox.com/unsubscribe/?member_id=18849915&id_secret=18849915-32545cb4&post_id=20170319194206:A5193EE2-0CFD-11E7-8374-E4EB999C4DD2
Powered by Listbox: http://www.listbox.com