Video Analytics 101

Published Mar 16, 2020 20:52 PM

This guide teaches the fundamentals of video surveillance analytics.

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Inside we cover:

  • Why Use Video Analytics
  • Video Analytics Warning
  • Where are analytics performed? Camera? Server? Cloud?
  • Original VMD-Based Analytics
  • Why AI Analytics? Detection and Classification
  • Basics of AI Analytics
  • Types of Objects
  • Types of Events
  • Color Analytics
  • AI Offers Advanced Detection
  • AI Classification Issues
  • Deep Learning Is Not Ongoing In Cameras
  • Hardware Limitations on Cameras
  • GPU Hardware Expensive on Servers and Recorders
  • Deep Learning / AI Mainstream in 2023
  • Single Vendor vs. Open Systems
  • Video Analytic Provider Overview

Why *** ***** *********

************, ************ ****** ** * ****** to ******* ******** ******* ************** *** visually ******* **** *** ********* ** each ** ***** ** ****** ******. However, **** ** *********** *** ***** to ****** ******* ****** *** **** monitor ** **** ***** ** * time, ******* ** ****** ******.

***** ********* ******* ****** ******* ** detect ******** ******, **** ** ****** or ******** ******, ******* *****, ** license ******. ***** ****** *** **** be **** ** ******* ********* ** notify ** ******** ** **** *** effectively ******* **** ******* ** *** time.

Video ********* *******

****** ****** ** **** ******** *******, we **** ** **** *** ******* clear: ***** ********* *********** *****************, ******* **** **** ****** ** terrible. ***** ****** *** ***** ************ marketing ** *********, ** ** *** historically **** **** *************** ****** *** overstated ***********.

***** *** ****-********** ********* *********, **** more *** ******** *** ************ ** the **** *** ***** ***** **** further ***** ***********, *** ***** *** exceptions, *** *** ****.

Historic ******: *** (***** ****** *********)

***** ****** ********* (***) ** *** original ***** **** ** ******* ** try ** ****** ********. ** ** not ** *** '*****' *** **** may ****** ** ** ****.

*** ******* ** ********* ****** ********** changes ** ****** **** *** ***** to *** ****. ** ****** ****** change ** ****** ** * *****, the ****** ******** ****** ********.

*** ***** ***** ***** *** *** might '***' * *** ****** *** correctly ********* ******:

VMD ***** ** ***** ******

*******, *** ** *** *********** ****** to **** ******* ****** *** ***** movement ** ***, **** **** **** are ******. ******* ** ****, ** makes **** ******** *** ****** **** shadows, ******, ********, *******, *** ****** may ******* **. *** *******, *** image ***** ***** *** ****** * mistake ******* ** **** *** '****' whether *** ******** ****** *** * person ** * ******:

\

Basic ********* **** *******

** *** ** ****** ***** ******, manufacturers ********* ******* **** ********* ** remove ***** ****** ******, ******* ** basic ***** *********. ***** ******* *** include ****** **** ******/***** ******, ****** speeds, ********** ******, ***. **** ******** performance ******** ** ****** ***, *** false ****** ****/*** ***** **** ******, with *******, ******, ****, *******, *** other ****** ********** **** ********* (*** our****** ********* ********).

Why ** *********

******* ** *** *********** ** ******** VMD-based ********* *** *** **** ***** alerts *** ***, ** ********* **** developed *** ***** ************ ** ******** detection ******** *** ***** ************* **** classification ************.

*** **** *********** ********* ** ** analytics ** *** ****** ** ******** effectively ****** *** **** ******** ******: 'Is **** * ******?', '** **** a ***?', '** **** * *******?', 'Is **** * ***?' ***.

Basics ** ** *********

** ********* ******* **** ******** *********** by ******** '********' ** ***** **********. Simply ***, ***** ******* ** ***** objects *** ******** ** ***** **********, which ******* ***** ******** ********* ******* the ****** ** **** ** ** labeled **.

** **** * ****** ***** ** detect *****, **** **** ****** *** fed **** *** ** ****** ** it *** ******* *** ***** **** a **** ***** ****:

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**** ******** ** ********* *************, ******* an ******** ******** *** ** ***** aspects ** *******. *** ********* '******' on *** ***, ******** ** ****** ********.

AI ****** *********

*** **** ***** ***** ** ** is *********** ** *** ****** ** looking ** * **** ****** ** noise (****, ****, ******, *********). ***** more ******** **** ****** ***, ** is ***** ********** ** ************* ******* (rain, ****) *** ******** *******:

*** **** ***** ** ** ** determining ** *** ******** ****** ** a ****** ** ***. ********* ******** objects (******/********/*******) ** **** *********** **** simple ********* *** ******** ******-***** *******.

**** **** *********** ** *********** ** the ****** ** * ******, *******, or ***** ****** ** ***.

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*******, ****** *** ******** *** *** most ****** ***** ***** ******* **** to **** ** ********* ** **** advanced *** ********* *******.

AI ****** **************

***** ********* *** ** ******* ** detect ******** ***** ** *******:

  • ****** - ***, ******, *********, ******** color
  • ******** - ****, **** (*** ** truck), *****, ********* ** ******
  • ******* - **** (*** ** ***), color
  • ********* ******* (****, ****) - ****, status (****-******), **** (****** ** *****)

Person **************

******* * ******'* ******** ********** *** valuable *** ******* * ******** ****** during ** ***** ** ********, ** is ******* ** ******** ******, ***, clothing **** *** *****, *******, ****** hair, ***:

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*******, **** ** ***** *************** *** extremely ***********, *** ** **** ******* of ******** *****, **** ****** ************** analytics *** *** ****** ********.

Vehicle **************

* *******'* ******** ********** *** *** most ****** ******* ** ***** *********** about ** ********, ** **** ******* for * ******. ** *** ** trained ** ******** *** ******* ****, color, ****, ***** *** ********* ** travel:

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*******, ** ****, **** *** ***** are ********* ***********, ****, *** ********* marketed ** *********** ***/**** *************.

Animal **************

**** **** ****** **** ****** ** vehicle *********, ** *** ** ******* to ******** *** **** (***, ***), and *****.

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Inanimate ****** **************

********* ********** ******* *** **** ******** response **** ** *********** ********* **********. AI *** ** ******* ** ******** backpacks, *****, **********, ****, *** ******** specific *************** ** ****:

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*******, ** ****, ****** ********* *** classification *** **** *** ********* ******* by *********** *********, ***** *** ** expensive *** **** **** *********** **********. Classification ** ********* *** ***** ********* objects (**********, ********, ***.) *** ** very *********** ** ****, ***** ** lighting, ******, *** ********.

Color *********

***** *** ** ** ********* ****** for *********** ** ****** **** ********* for * ******** ****** ** *******. Color ********* *** ** ******* ** themselves ** ** *********** **** ***** objects (********, ******* *****):

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*******, ***** ********* *** ******* ************ in *** ***** ** *&* ** night *****, ********* ****** ** ****** of ***** *** ****:

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******

********* *** ** ******* ** ****** specific ***** ** *********. *** **** common ******** ********** ***:

  • ******** / **** ******** *** *********
  • *********
  • ****** ********
  • ****** **** ****** / *******

Tripwire / **** ******** *** *********

********* **** * ****** ****** ** approaches * ********** **** *** ** critical ** ****-******** *********, ** *** health *** ****** ********.

**** ** *** **** ***** ******** analytic *** ** ******* ** **** cameras:

********* ** **** *** *** **** reasons ** * ******** ********, *** the ***** ** ********* ** * person ******** ** ****, ****** **** just ******** * ****.

*********

******* * ****** ******** ** *********** an **** ** *** ****** ****** to ******* ** *****, ** **** are ***** ******** **** ******* ****** an ********** *****, ********* ****** *** offered.

******* ********* ********* ********** ** **** more *********** **** ********, ***** *** analytic ****** **** ***** ** ********* of *** ****** *** *** ******* time *****.

People ********

************* *** ****** ** ****** *** enter *** ***** ** **** ******* a **** *** ** ********* ** security ********** *** ****** ********, *** valuable *** ********* ** ****** *** hospitality *********.

****** ******** ********* **** ********* ** decrement ** ****** **** ******* * defined **** ** ****:

**** ** ******* ** ******** ********* but **** *** ******* ** ***** for ***** ****** ********.

Object **** ****** / *****

****** **** ****** *** ***** ********* were ********* ******* ********** ******* (****, boxes, *********) **** *** **** ****** can ** ********* ** ***** ********* and ********* ************* **** ******** ** high-security ********* (********, *******, ********):

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*******, ******* ******-****-****** *** ***** ********* are **** *********** ** ******* **********, you **** ** ** ******* ** ensure **** *****, *** ****** ***** will **** **** *** ********.

Beware: **** ** ********* **********

********* ***** **** ******** ****** ***** also ****** *** *** ************** ** human ********' ******, ***, ******** *****, etc. *******, ** *** *******, **** the **** ********** ********* ***** *********** classify **** *********** ***********, **** *** classified ** *****, ******** ********** ** adults, ***.

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Where ********* *** *********

********* *** ** ********* ** *******, recorders, *******, ** *** *****.

*** ********* ** ***** * ********* are:

  • ******:******-***** ********* *** ** **** ******** because **** *** ** ********* ** low ***********, ****-******* *****, ****** ********. However, ******** ********** ******** *** ******** analytics **** ********* **** ******* ** expensive ******* ***/** *********** ************ (*.*. LPR/ANPR).
  • ********:********* ***** ** * ******** ********* allows *** * **** ******** ********* than * ****** ****** ***** *****, which ** **** *** *** ******* connected ** *** ********. ****, *** analytics *** *********** ********** **** *** viewing ********. *******, ******** ************* ** not **** ** ****-******* *** ******** to **** *** ********'* ***** ***, and ***** *** ********* *** *******.
  • ******:********* ********* ********** *** ***** ** have ********* ********* ********** **** *********, and ********* ******* ******-**** **********. *******, server-based ********* *** *********** ***** *** can ** ***** *** *****-*********.
  • *****: ********* ***** ** *** ***** should ********* *** ******** *********** ** recorders ** *******, *** ******* **** accuracy *********. *******, ***** **********, ************ public ***** ******* (******, ******), *** be **** *********. *****-***** ********* ******** typically **** ******* $**-$** *** ****** per *****. ********, ******** ****** *** will ******** *** *** ***** *** number ** ******* **** *** ** analyzed.

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

*** ****** ************* ** **** **** learning ********* ** ***** ***** ************.

**** ********* *** * ***-******* ***** that **** *** ****** ***** ******** over **** ***** ** *** *****. However, * ***** ****** ** ******* and *******, **** ** ********'* ****-******** H5A ******, ******* ** ***** *** scene **** *** ****** ** **** a ****** ** ****.

Hardware *********** ** *******

*** ******* ********** ** ***** ** inside ******* *** **** *** **** of *** ******** ** *** ** inside *** ******. **** **** ** AI ******* **** ************ **** **** expensive. ******* ** ****, ******* **** VMD *******, ******* *** ************ *** realizing *** ******** ** **** ****** cost *** *** ******.

*******, ******** ****** **** ***** ********** and *********** ********** *************, ******* ** a **** ** ***-**** ****** ******** 'AI', **** ******* *******.

GPU ******** ********* ** ******* *** *********

******* ** ********* ********* ** ******* and ********* *** **** ******* **** camera-based ********* *** **** ** ******* multiple ******* **************, **** ******* * or **** *** ***** **** *** cost ********* ** ******* *** ****.

***** **** ***** **** **** ** analytics *** ********* *** ** *** reach ** **** ***********, ****** **** most ****** * *** ** ****-*** commercial, *********, ** ********** ********.

Deep ******** / ** **********

***** ***** ************ ********* *** **** promoted, *****, *** ******** *** ****** 20 *****,** ****, ** ******* **** **********,******* **** ****** *** ************* ***** fairly ******** *** ******** ****** ********* analytics. *** *** **** **** ** not ***** *** ** ********, *** other ***. **** ** *** ****.

Single ****** **. **** ****** ***********

******* ********* *** ** ********* ** integrate ****** *** *******, **** ******* focus ** ******* ***** *** '*** to ***' ***** ********* / *** solutions. *** **** ****** ******* ** this ** ********, ***** ****** *** video ********* *** ******* ********** **** their******* ****** ***. ***** ******* ******** ******* *** analytic ****** ************* (*.*.,*******'* ******) ***** ********* **** **** **** their *** ***.

***** *************, **** ** *****, *********, and *******, **** ****** ********* ***** analytics ** ***** *** ********* (********* events, ******** *****, *** *************) ***** third-party ******* ** ******* ** * few ********* *** ****** ****.

Video ******** ******** ********

***** ** * **** ** ******* video ******** *********.

****** *************:

  • ********: ********* *** **** * **** focus ** *** ******* *** * number ** *****.
  • ***** *** *********: ***** ******** ** adding ** ** ************* ******* ***** low-cost *********.
  • **** *** ******: **** **** **** relatively **** ** ******* *********, *** are **** ******** ** ***** ********* to ******.
  • *****: *** ******* ***** ********** ********* for * ****** ** *****, *** typically ** ***** **** ********* ******. They **** ******* **** ******** ********* in *****-**** *******, *** ********* ***** similarly ********** *********.

********-*****:

  • ******** - **** ****** ********** ******** but ** *********, ******* ** ****** systems (*** ****** *******).

********:

***** ********* ** *** ** ********* ************ **** *** *****, ****** ******** analytics ** ***-*** *** *****-****** *******. These *** ********* **** ****** ****** analytics **** ****** ************* *** **** often ***** *********** ********** (*.*. ****, weapons, ********, ***.).

Comments (6)
UI
Undisclosed Integrator #1
Mar 16, 2020

***** ****, ****** ******** **** *********** comments.

****** *********** *** ******* ******* ***** a *** ********** ******* *** ****.

************ ** ********* **** ******** ***** failures ** *** ******* ******* ** meet **************** ****** *** *** ******** ** techology ********, * ******* ** *****’* Law.

*** ******* ** **** ******* *** under ******* ** ****** ******* **** analytics. ****** ** ****, *** *********.

* ****** * ******* **** ************ learned *** *********** (***** **** *** setup), *** ** *** * ******* ending **** ********. ***? ** *** often **** ** ****** ***** **** environments *** ***** * ****** ** time ** ***** ****** **** ** was ******* ** ******.

****** **** “******* ***.”

******, **’* * *** ****** **** it *** *** *** ** **** need ** ****** *** “***** ******.”

(1)
(1)
(1)
UM
Undisclosed Manufacturer #2
Mar 16, 2020

**** **** *******. ***** *** *** ahead *** **** ** ** *** reality ** **** ** ********. * actually ******* **** ******** ******* ********* learning ** **** **** ** ** a ******** ** *** ****. **** line ** ******* ** **** *** end **** **** ******* **** ** Uniview *** ** ****** **** ** my **********. * ***** ***** ******* this * ***** **** * **** time **** **** * ***** ****** possible ***** ********* ********** ** *** how ******** *** ****** ***** **. Thanks *** *******.

(4)
CP
Connie Petree
Mar 17, 2020
IPVMU Certified

* ***’* **** ** *** *** far *** *** ******** ********* **** come ** *** **** *** *****. Such * ***** **** **** **’* a *** **** ********.

(3)
Avatar
Tsvi Lev
Mar 17, 2020

* *** *****:
*. *** ********** ******* ********* ****** day ** *****. ** *** **** as * *****, *** ****** **** to *** **** ********** ** *****/****/***. Night ***** *** **** ** ***** and **** ********** - ** ***** you ****** ** ********** ******** ***** is ******* ******, *** ********* ****** and ******* ***********. **** **** ****** at ***** ****/****.
*. "****/***** *******" ********* ** ****** than *** ***** *****. **** **** to ************* ******* **** *** **** 'some ****** *** *****/******** ******".
*. **** **** ***** ***** ***** quality - **** ****** ********* **** the **** *******/*** *****. **** **********, many ****** ****** ***** ********* *********. Raw ** ****.

(3)
(4)
PS
Paul Skinner
Mar 17, 2020
IPVMU Certified

** ****** ******* *******, ********* ********* is ********* **** ** ****** ** IN *** ** *** ***** ****** at ****** ** *****. *** ********* are ******** ** ******** ***** *** to ***** *** ********. * **** the **** ** ****** *** ****** note *** ****** ** ******, *** analytics *** ********* **** ***** ** direction ** ********, *** **** * running ***** ** *** **** ****** are ** *** ********. **** :)

UM
Undisclosed Manufacturer #3
Mar 30, 2021

**'* ******** * *** **** **** I ****** ******* ** ** ***** video *********, ***** ****** ***** ****** readings ***** *** *** ****** ** determine **** *** ****** **- ******, car, ***, ** ********** *** ***** called **. *** **** **** ***** it **** **** ** ****** *** more ************* ** ********, ********* ** resources *** ****** *********.

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