Stories
Slash Boxes
Comments

SoylentNews is people

posted by CoolHand on Thursday November 08 2018, @04:56PM   Printer-friendly
from the https://www.youtube.com/watch?v=iV2ViNJFZC8 dept.

Submitted via IRC for Bytram

China can apparently now identify citizens based on the way they walk

China is home to the world’s largest network of CCTV cameras — more than 170 million — and its police have adopted Google Glass-like “smart specs” to seek out suspects in crowds, but now its surveillance efforts have hit a new level with technology that can apparently identify individuals based on their body shape and the way they walk.

The “gait recognition” technology is already being used by police in Beijing and Shanghai where it can identify individuals even when their face is obscured or their back is turned, according to an AP report.

[...] The positive impact is in finding criminals, but there’s a less savory edge. Besides law enforcement, media reports have shown that China has deployed surveillance technology for more sinister purposes that include controlling its people.

[...] China’s CCTV surveillance network took just 7 minutes to capture BBC reporter


Original Submission

 
This discussion has been archived. No new comments can be posted.
Display Options Threshold/Breakthrough Mark All as Read Mark All as Unread
The Fine Print: The following comments are owned by whoever posted them. We are not responsible for them in any way.
  • (Score: 1, Interesting) by Anonymous Coward on Thursday November 08 2018, @10:49PM

    by Anonymous Coward on Thursday November 08 2018, @10:49PM (#759591)

    The 1968 Guinness Book of World Records called out a radar so sensitive it could distinguish a man from a woman by gait from miles away.

    There's been more recent research into that...

    A continuous wave (CW) radar has been used for the detection and classification of people based on the Doppler signatures they produce when walking. When humans walk, the motion of various components of the body including the torso, arms, and legs produce a very characteristic Doppler signature. Fourier transform techniques were used to analyze these signatures and key features were identified that are very representative of the human walking motion. Data was collected on a number of human subjects and a simple classifier was developed to recognize people walking. The results of this study could have a wide range of security and perimeter protection applications involving the use of low-cost CW radars as remote sensors.

    (source [mitre.org])

    ...including the use of Wi-Fi access points as the radar transmitters (source [ncsu.edu])

    Starting Score:    0  points
    Moderation   +1  
       Interesting=1, Total=1
    Extra 'Interesting' Modifier   0  

    Total Score:   1