Healthy Skepticism for Deep Learning Is Prudent

Author: John Honovich, Published on Jul 26, 2017

The hype for deep learning in video surveillance is accelerating.

Between the race to the bottom and dearth of a 'next big thing', certainly pent up demand exists.

But now is the time for a healthy skepticism about when and what deep learning can do. In this note, we examine the hype and real issues that professionals need to consider.

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

******* *** **** ** *** ****** *** ****** ** * 'next *** *****', ********* **** ** ****** ******.

*** *** ** *** **** *** * ******* ********** ***** when *** **** **** ******** *** **. ** **** ****, we ******* *** **** *** **** ****** **** ************* **** to ********.

[***************]

'Revolution' ****

**** *****,*** ******** **** ********** ** "* ********** ** ***** *********", *********:

********************** **** ***** **** ********** ******* **.* ******* ******** ** ************, ***** ************ ******* ***** ******** ** ******* ** *******.

************* **** ***** ***** ***, **** ***** ***** ** *** even *** *** **.* ******* ** ***** ******** *** *** mentioned.

*** **.*% ****** **********.

Irony ******

*** ***** ** *** *** ***** ** *** ******* ******** of *** **** ******** *****:

*** ***** ********* ******** ** ***** ******* *** *** ************ damage ** ********* ** * ****** **previously ********* *** **** and delivering too little in the past. [emphasis added]

*** ****** "***** *** ****** ******** *** **** *** ********* to ****** **" ** ********* *********** ****.

Robots

**** ** ****** ***, '******* *******' ******** ******* *********** ************ *** ****** *** ****** *** **** *** "**** ** robots **** ****** ********** *******". ** *******:

** **** ** ** ** ******** ********* ***** **** **** a **** **** ***

** ********, ** *** **** ******** ***** *** *****. ** are ** ** '******** ********* *****' **** ****** **** ****. Unfortunately, *** *******, ************** **** ****** * ****** ****** ***** ****.

Timing ******

** ** **** ** *** **** ********** *** ************ **** become ********** ** ********* ****** **** ******. *** ******* **** eventually *** *** *** ***** ******.

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

***** *** / ***** ** ***** ****** ********. *** ********* are ****. *********** *** ******** *****.

Deep ******** **********

**** *** * *** ********* ******* *** * ******* ********** of **** ******** ** *********:

  • ******* ************: **** ******** **** ** **** ** ******* ***** ************ applications. ***** **** **** ****** **** *** ***** **** **** poorly ** ***** *******. ** ** ****** ******* **** *** performance **** **** ************* ****** ************. "**** ********" ** ****** to ** ******** ** ********* *** ***** ** **********.
  • ***** *********** ********: ***** **** ******** ************* ****** **** ********, *** *********** will ** ************* ******** ** **** ** ** *** ************ **. *** '**** *****' ** ******* *** ** ***** applications *** ******** ** ********* *******, ******* *** ***** (*.*., people **** *********, ****** ***********), ** ** ******* **** *********** problems **** ** *****. **** ** *** ******* ** *** easily, ******* ** ******* *** **** ******** ************ *** ** re-trained ** ****** ***** *********.
  • ******* ****** ***********: ****** ******* ***** **** ******** **** ******* **** * few *********, *** ******** *** *********** ** **** ******** ***** surveillance ******* ** ***** ** **** ************* ***** ** *** engineering ***** (***** ** ** ***** ****** *******), ********* ********* and **** ********* ** ****** *** ******* ****** ** ***** on. **** ** ****** ** ****** ** *********** *********** ********* across ******* **** ** *** ** **** *** '**** ********' on *** '***'.
  • ******** ***** ******: ****** ***********,*** **** ******** ******** **** *********** ******** ***** ******.

Early *******

**** *** *** *****, ** ** ********* ** ****** ********* that **** ** ***** ***** **** *** **** ******** ** video ************.

* *** ** **** ** ***** ***** ** ***** ********* demos. *** *******, ** *** ****** *** **** **** *****, one **** ******** ******** *** ******* *** *** ******** / performance ** ***** ******. ***** * ****** ** ** ** watching **, *** ***** ****** **** *** **** ****** **** on ******* **. ** ****** ***, **** **** ****** ******* in * **** ** *** *** ******. ***** ***** ****** will **** ********** **** *** *** *** * *** ** deep ******** ** **** *****.

Healthy **********

**** **** ********, ** **** **** * ****** ** ***** for **** ******** ** ****** (**** *********** *** ******** ****) for ** ** **** * *** ********** ** ***** ************. Hyping ** *****, ********** ***** *** ***-**** ******* **** ***** analytic ******** ** *** *****, ***** ********* ******** **** ********'* reputation *** *** ********** ********* ****** **** ** **.

Comments (11)

Undisclosed #1

07/26/17 03:37pm

*** ** *** *** ************ ******** ****** **** **** ********* the ****** *** ******** ** '**** ********' ** ************/******** ************??

*.*. *** ** ********* ** ********?

John Honovich

IPVM | In reply to Undisclosed #1 | 07/26/17 03:41pm

************ ******** ** * good ********.

*** *******, * ***** though '********' ** *** concept ** * '********' could ** ******** *** then ****** ***** *** it.

* ** *** **** the ****** *** ** will *** ****** *** what ********* ******* *** claiming (*.*., ** **** learning ***** ************ '*******' by **/**'* *******?). @*****, see **** *** ****.

Avatar

Brian Karas

IPVM | In reply to Undisclosed #1 | 07/26/17 05:11pm

*.*. *** ** ********* ** ********?

***, ******** ** **** ***** ** ***** *********** ********** (*.*.:*.*** ********* **** ******** / *** *********), ******'* ******** *********, ***. ****** **** *** ********* *** defined ** "**********" ************.

**** ** *** ********* ******* ******* ****** ***** (*********, ***.) applied ** ********** *******. **** ******** ** *********, ** ***** so ***, *** **** ******* ******* ** *** ********** *******, doing * ****** *** ** *********** **** ** "*****" (*******, boat, ***, ***) ** *** *****. ***** *** ******* ********* applications ** ****, *** ***** *** *** *********** ***** ******** unique (*** ****** ****** ********* *********** ******).

*** ***** ****** * ******** **** ******** ******* **************, *** it ***** *** ** * **** ****** ******. **** ** very ******* ********** ** ********* * ***** ***** ********** ***. You ***** ** **, *** ***** *** ** **** **** to ***** * ********** *** **** ******* ***** ***** * competing *** ******* ********** **** ****** ** ***. ******** ******** used ** ***** ***'* *** *** **********, *** ***** *** some ***** ******** ** **** ***** ******** *** ********** *** (many *** ********* *** ***-**********/******** ********).

*** ***** ****** * **** ****, ****-******** ******* *** ******* to ******* **** ** ******* ********* *** ******** ******** ** a ****** ** *******, *** *** ***** *** ***** ******* to *** ** (** *** *** * ******* ***). ****, if ******* **** *** ***** **** ******, *** *** *** tagging ** ***** ***, *** ***** *** ******* * ******* fee (**** ** ******** *** ****** ********** *** *** *****/*********** by ***).

**** ******** ** ***** ******* ** ** **** ***** ** so **** ******** **** ** ** ******** **** ******** ******* will **** ***** ************ ******* ** **** ******** **** ****** the ******** ********.

***** *** ***** *** **** ****** ******** ** ******** ** in ***-*** ********/************ ***** ** *** ** ************ **** **** learning ***** ********. *** *******, *** ***** ** **** ** patent * *** *****-****** ******* ****-******** ******* ** * *** that ** ********* ******** *** ** * *** ****** ********* a ******, ** ******** * ********** ******** ******* ********.

Undisclosed #1

In reply to Brian Karas | 07/26/17 06:18pm

**** ** * ***** comment... ************:

"*** ****** ****** ********* statistical ******"

** ** ******* ************* of '**** ********' - and **** ** ** if * ** ***** - ** ******* ** me ** ** **** we *** ******** ******* about ** ****** ****** 'if/then' ********* ***** ************.

**** *** *********** *** 'deep ********' ********** ** a ******** ******** ** computational ***** *** *****.

*** ****** ***** **/**** statements *** ** ******, the **** *********** ************ will ******* **** ***** 'deep ********' ** '****' things **** **** *** knowable ******* *** ************* power ******** ** ***** this ****.

** * *****?

Avatar

Brian Karas

IPVM | In reply to Undisclosed #1 | 07/26/17 06:42pm

*** **/**** ******* ** not * *** *******, but ** ** **** not * ******* *******. I ** *** **** if *** *** ***** talking ***** *******/************* ** DNN-based ************, ***** ***** factor **** *** *** you **** ** **** the **/**** *******.

**** ******** ** *** AI (********** ************), ** is **** ***** ******* things **** **** *** knowable, *** **** ***** pattern *********/***********, ************ ** cases ***** ****** ***** not ** ** **** or ***** **** **** the ****.

*** *** ***** * DNN ** ****** ***** signs ** ******, *** that **** *** **** it *** ***** ** know *** ** ********* an ********* ****** ********* protocol.

Avatar

Skip Cusack

In reply to Brian Karas | 10/10/17 02:36pm

******* - *'* *** an ******** *** *** following ** *** ***** advice....

***** *** * ******** Supreme ***** ****** ** 2014 (***** **. *** Bank) **** ***** *** can *** ****** **** an *********, ** **** software. ** **** ** tied ** ********. **** is ********* * *** deal, *** **** ***** waves ******* **** ******** heavy **********.

****** ******** ** **** software *******, **** ********, that ******* **** ****** to ********* *** ******** of ******** ******* ** not ********.

*********, ** ************* ** that *** *** *** patent **** ******** **********, but ****** **** **** be **** ** ******** like ********** *** ******* in * *** **** is *********** ** *** invention.

Undisclosed #1

07/26/17 07:03pm

*****...

"* ** *** **** if *** *** ***** talking ***** *******/************* ** DNN-based ************, ***** ***** factor **** *** *** you **** ** **** the **/**** *******."

**, ******** * ** in ********* - * don't ***** **** ********* statistical ****** ** ********** either. *** '*****-******' **** set *** ** ********/****** to ****** *********** ******. It's **** ****** ****.

**** ***** *** ******** of ********* (* *****) is *** ******* ** some '*****' **** *** analyze ***** **** **** fast ****** ** ****** a ********* *** **** for ****** **** *****.

** **** ****** *** in *** ***** *****, the ********* ** *** industry **** ** ** following *** **** **** they **** **** *** first ******* - ******** that **** **** **** everything **** *******.

********* ************* ***** *********** by ******** ** *********** power ****** ** * chip **** ********** ** able ** ******* **** really **** ******.... *** if **** ******** ** over-hyped (** *** ***) as * ******* ****** than ***** *** *** capabilities ** ******** ******* existing ******** ********, *** deep ******** *** *** potential ** ***** ****** in *** **** - like *** ********* ********** did ****** **** **** the ************ ** ******** security *****.

Avatar

Brian Karas

IPVM | In reply to Undisclosed #1 | 07/26/17 07:16pm

** ** * ******* topic, *** ** *** at *** ***** ******.

***** **** ***** ********* products ********* (** ******** failed) *** ** ***** accurate ****** **************. **** products ***** ******* ***-****** approaches ** *** ** a ******** ****** ** separating ***** **** ***-***** (pixel **** *****, **** movement ********, ******* ****-******* coupled **** ******** ****** data ** ********* ***** horizon, ***.)

** ***-***** ********** *** output ******** **** ** what ** ********, **** ***** ****** can ** ***** ** top ** **** ** a *******/******/**** ******** ******.

** **** ****, *** could ** *** ******** linux ** *********. ****** linux, ** *** ****** to ***** ******* **** an ******** ********* ******, as ******* **** *******, complex, *** *********. ***** solved * ***** * type ** ******* *** embedded *******, ******* ********* concentrate ** *** ******/************* part **** **** *** OS (*** ** ***** getting **** ****-****** **** of ***** ******** ** other ****** ******** ****** companies ***** *** *****).

******** *** ** ********* could *** *** ******** over * ***** ******, but *** ***** **** need ****** ********** (*** marketing/sales) *** *** ********** stuff **** ***** ***** you **** ******* *** what ** ****** ** an ***** **.

Slava H

3dEYE Inc. | 07/27/17 08:25pm

* ***** ************* ************* ** ********* ** well ** *** ** concerns *** ******** ********.

*** *** ****** ********* to **** *** *** area ** ******** ** DNN *********.****://***.**********.**/.

Avatar

Brian Karas

IPVM | In reply to Slava H | 07/31/17 06:46pm

*********, **** ** **** ** * *********** **** **** ** actual ***, ************ *** ******** ************. **** ***** ****** ** DNN-based ********* ****** *** **** ********** *** **********, ** ********* below.

* ***'*/***'* ******* ** *** "**** * *****" ******** ******* I ** *** **** ****** ***** *** ********** ******* ********* work ** * *** *****.

*** ******** ************, *** *********** ****** ***** ********* ** **** form ** ******* **********, ** **** * ***** ****** (**** likely * ******) ***** ***** ********* ** *** ******. **** could ** ** **** *** ***** ******** ** "***", ** to ****** ***** ********* ********** (******** * ****** ******** ** be ********* **. **** ***-***********).

***** *** * *** ****** **** **** ** *********/**** ********* to ** ** *********** ****** *** ************:

  1. ******** ********* *** ********* *** **** ******/************/****** ******** *** ******* around **. ************* ******* ***** ********** **-*****, **** ****** *****. The ******* ******* ****** ********, ***** **** ** ***** ******** cannot ** ****** ****** ****** **** ***** ** ****** ** attackers ** *** ****** ** * ****** *** *&*/******* ********. Not ****** ** ** **********, *** ** **** **** ****** a ****** ****** *** *** ******* ** **** ******* **** of ***** ********.

  2. ****** ********* **** ******* ******* ** ** ****** ****** ******** giving ** * **************. ******** ******* **** *** ******* ** generally **** ****** ***** ****** *******. ****, ******** ********* ** image ** *************** *********, ** ** ***** ** ***-****** ****** out ** *** ***** *** **** ******* ******** **** **** some **** ********. **** ** ********* * ******* **: **** for **** ******->******* *** ***** ****/*****/****** ***** ********->******* *** "*********** motion"->then ******* *** *** **** ******* *** *** *** **************. This ***** *** *** **** ** ** **** **** **** inject ******** ****** ****** **** *** ****** ** ****** **.

  3. ***** ****** ******* ***********, ** ********** ** ****** *** *** would ****** *** **** ** *******, ****** **** **** ******* with *** **** ******* (********, *** ****** ** ** ******** more ****** ** *** ****** ** ***** ****** ** *******/********* labeled **** **** ********), *** ******* *** ****.

*********, ** **** * ******* ****** ********-***** *** ********* ******, you ***** **** ** ********* **** **** ** ******* **** that ******** ********** *******, **** ******** ****** *** ***** ** motion (***** ***** ******* ******** ********** ** **** ******). ** the ****** ***** ******** ******** *** ********* ****** *** **** 1 ******, ** ***** ******** ** *****.

***** ** ******** ***********, ** ** **** **** ** **** which, ** ***, ********* *** ** *** (* ***** **** is **** * ****** ********** *** ******** *** ***** ***********-******** cameras). ******** *** * ********** ****** **** **** ****** ***** require **** ****** ** ****** ********* *** * **** ****** motivated ********. ** ******* ***** *** *** ***** ** ************ for ***** ***** *********, ** *** **** ** *** ****** today, *** ******** *** *********** *** *** ***** ** ****, those ********** *** ******* *** **** **** *** *****-****** *****-*****-***-*********-***** armed ******.

Slava H

3dEYE Inc. | 08/02/17 04:34pm

*** **** ** * theoretical ********, *** ********* this ******* ***** ****** for ******** ******** *** to ** ****.

* ***** ***** ******** of ******** ******* *** using ***-******* ******** ****** such ** ******** *** changing ***** *** ****** layer *** ***** *****. Would **** ** *** anyone ******** *** ******** their *** ******.

** * **** ** thumb: ****** **** *** easy ** ******** *** easy ** *******. ****** models **** *** ******** to ****** *********** ************; Models ******* ** ***** the ***** ************ *** not ********* ** *********** examples. ********* *** *** resistant ** *********** ********.

******* ************** ** ***** such ** ********* ** loss ******** *** ******* input ******** ****'* **** is ***** **** ** optimise *********** ******, ********* argument ** ******** ** obscurity *** ******* *** this ****. (**** *** paper ** **** *****: https://arxiv.org/pdf/1412.6572.pdf)

** **** ********* *********** such ****** **** ***-*******, well-known ****** ***** ********** false ***** ********** ** a ******* **** **** some ***** ** * floor.

** ** ****, **** (generative *********** ********) ** an ****** **** ** research *** ** ***** a **** ******** ********* and *** ******* ** attack ******.

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