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  • Looking at me now, you could probably have a decent go at describing me.


  • But what about now?


  • You might remember more or less that I have pale skin and dark hair.


  • But what If I asked you to describe my nose?


  • Would you say it was flat?


  • Long?


  • Pointy?


  • And what about my eyes?


  • Round?


  • Almond shaped?


  • Wide set?


  • Deep-set?


  • Close together?


  • Difficult to be specific isn't it?


  • And that gives you some indication of the kinds of problems that detectives face when they're trying to recreate images of suspects.


  • The idea behind police sketches is simple.


  • An eyewitness sees a crime and works with the police to create an image of the criminal.


  • But how accurate are these kinds of sketches?


  • Do they really help catch criminals?


  • Experiments by forensic psychologists in the U.K. found that faces were identified correctly by police sketches in just 8 percent of cases.

    根據英國的法證心理學家的實驗數據顯示,透過警方的素描圖像能成功認出罪犯的機率只有 8%。

  • There have been some cases where police sketches have worked well, such as the Oklahoma Bomber, Timothy McVeigh, and the sketch of serial killer Ted Bundy, which prompted people who knew Bundy to call the authorities.


  • But more often than not, the similarities are not that close and a police sketch ends up being mostly a guesstimate.


  • And one reason it's so difficult to get them right is because our brains aren't wired to process each individual feature on a face.


  • When the mind remembers a face it doesn't look at the face and break it up into databases of noses and eyes and ears and then try to reconstruct them, which is how the early systems work.


  • Instead, when we look at faces, we remember the whole face.


  • So our mind is storing the face holistically.


  • When it comes to police sketches, the process of reconstructing a face from memory, detail by detail, is the opposite of how we naturally recall faces.


  • In the 60s and 70s, systems such as Identikit and Photofit tried to fix this problem with large databases of interchangeable features.

    六、七十年代,開始透過艾登蒂基特容貌拼圖 (Identikit) 和 拼湊人像 (Photofit) 等系統的可互換面貌的大型數據庫以解決這方面的問題。

  • By the 80s, computerized systems such as E-FIT meant they could be a bit more customised, but the witness still had to scroll through lists of individual features, so any face constructed was limited by those options.

    至八十年代,如 E-FIT 這類的電腦化系統的出現,可讓素描畫像更客制化,但是目擊者仍必須滾動瀏覽各個臉部特徵列表,因此任何組成的臉孔都受到這些選項限制。

  • And these aren't the only hurdles.


  • Not only do we find it difficult to identify individual features, we also struggle to describe them.


  • So when you see the face of a perpetrator, if you're unlucky enough to be a witness to a crime, you see the face, so it's visual.


  • But when the police officer asks you to describe it you have to give a verbal response and our brains aren't very good at swapping between modalities, swapping from the visual to the verbal.


  • And then there's the issue of time.


  • The problem is, is that witnesses are normally interviewed a couple of days or a week after a crime.


  • And when this happens, witnesses struggle to remember what the face looks like and they struggle to remember the parts of the face.


  • And what we know is, for unfamiliar faces, our memory tends to be particularly good for the hair and the outer part of the face.


  • And yet when you become familiar with the face, it's the central internal features that you tend to rely on in order to be able to recognize somebody's faces.


  • So a witness will tend to construct the outer part of the face well, but somebody who's trying to recognize the face will be looking at the central part of the face.


  • And so there's a kind of a mismatch in what's accurate in the face.


  • And that's what has led to EvoFIT, a composite facial system that Charlie Frowd helped to develop.

    於是就發展了 EvoFIT,一個由 Charlie Frowd 協助研發的人臉組合系統。

  • It presents randomly generated faces that users are able to tweak, adjusting them by variables such as pleasantness, attractiveness or honesty.


  • We built a system that shows witnesses screens of faces and they're asked to select faces that look like the person that they've seen.


  • Those choices are then combined together and another screen is produced.


  • In some of the experiments what we've been doing is showing witnesses faces where the outer part is de-emphasized or blurred to help a witness focus on the central part of the face.


  • And that's actually quite effective to help people construct the central part of the face more accurate and so produce a more identifiable composite.


  • We've shown in the laboratory identification can be about 75 percent correct.

    我們在實驗室中的結果顯示的識別率大約是 75%。

  • I mean so, performance that really is quite good and actually valuable for police and for policing.


  • EvoFIT helped catch a serial rapist in Manchester who was recognised by a facial composite on Crimewatch and turned in to the police by his own brother.

    透過 EvoFIT 系統幫助緝拿了一名曼徹斯特的連環強姦犯,該名罪犯的臉部組合圖像於於 Crimewatch (英國電視節目) 被辨認出,並由他的兄弟向警察求助。

  • Very often perhaps the facial composite images aren't that accurate, but nonetheless, they can be an invaluable prompt to somebody who maybe looks at it and thinks, "Is that someone I know?"


  • And that can be all that's needed to push them over the line and call the police and say, "I think it's this person."


Looking at me now, you could probably have a decent go at describing me.


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素描畫像揪出罪犯!?破案率有多高?(Do Police Sketches Actually Help Catch Criminals? | BBC Ideas)

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    Fibby 發佈於 2020 年 07 月 14 日