Gender Video Analytics Shootout
***** ***** ********* *** ****** ************** is ********* *** *** **** **** it ****** ****? *** **** ******** features *** ****** ********* *********** ***** to **** ***** **************?
** ****** ****** ********* *** **** two ***** **** **** *************' *******:
- ******** *.*-***-***-**+********** ******
- ***** ***-*********-***
- ****** ***-******
- ********* ***-**********-*
- ******* *****
******, ** *******:
- **** ******** ******** **** ****** ****** classification?
- **** *** *** ******** **********?
- *** **** ********* ****** **************?
- **** ******** ***** ****** **************?
- **** **** **** ****** **************?
- *** ** ****** *** **** ********* impact ********?
- *** **** *** ****** **************?
*******
***** ** *** *****, *** ******* but *** **** ******* ****** **** length **** *********** ******, ****** ** by *** *** ******* ********* ** whether ******* **** ** ********** ** male ** ******. *******, ***** ********* were ****** *************** *** ********* **** mistakes **** ** ******** ***** ***** not.
**********, **** **** *** *** ***** effect, **** ******** ** ******* ***** and ******* ********** ** **** ** female ***** ** ***** *******, **** no ***** ***** ***** ** **** type.
***** ******* ****** ** ************:
- ********'* ** ******* *** ********** ****** most ******* ******** ****, *********** ******** with **** **** ** ****** *** short **** ** **** ** **** rates. ***** ******* **** ** **** type, ****** ********, *** ******** ***** were *********** *******.
- ***** *** ****** ********* *********, **** heavily ********* ****, *** **** ******** style, *********** ******** ** ****** ** female **** *****. ************, **** * face *** ********, ****** ******** **** more ******* **********.
- *********'* ****-**** **** *** ****** **** performed ****** ******** **** * **** was ********, ****** ****** ***** ********* analysis ** ****** *********, **** **** subjects **** ****** ****. ******* ** the **** *** ******** *** *** camera ** ******* * **** (~*** PPF ** ******), ** *** **** likely ** ********* ******** ******.
- ******* *********** **** ********** **** ** our ***** *** ******* ******** *****, facial ********, **** ****, ***. ******* was **** *** **** ************ ***** sometimes *** *** ******** ******, ****** detecting ******** ** * ****** ******* of **** ** ******.
Accuracy ********
******** ** ****** ** ** ***** high (**%+) ** **** ************, ** men ********* **** ******* **** **** women, ***, ****** ******** *** ****** who ** *** *** **** ********** and, ** ************ ***** *** ********** does *** ** **, ******** ** likely ** ** ***** ****.
Performance ********
***** ** ** ******** ** *** performance ** *** ** *** ****** recognition *********.
Avigilon *** ******* ********* **** ******
**** ****** *** **** ******* ******** for *************** ** *** ******* ** all ************* ** ********* (********* *****).
******* *** ******** ******** **** *** heaviest. ** * ****** *** ******** with **** **** **** **** **** likely ********** ** * *****, ********** of ***** *******, **** ** ******* visible ****** **** ** **** *****, shown *****.
*********, ******** ********** ****** *********** ******* other ******* *** ********** ******** ******* weighted ** **** ******.
Dahua / ****** ****** **** ******* ** ****** *********
****** ****** ******, ***** *** ****** classify ****** ** **** ****** ********* and **** *********, **** **** ********* more ********. **** ***** ****** *********, hair ** **** ******** ********.
*** *******, ***** ******* ******** ****** by **** ****** **** ***** ****** detection, ***** ***** ********** ** ****** if **** *** **** *** **** versa.
****** **** ******* ******** ****** ** hair ****** **** ***** ****** *********, resulting ** ******* ***** ********** ** males ** **** *** *****.
Face ********* **** ******** ****** *********** **** ******
**** ***** **** ********, ***** *** Hanwha ****** ************** ****** **** **** accurate.
*** *******, *****, ****** ********* *** male **** **** **** ** ** a **** **** * **** ** detected *** * ****** **** **** a ****** ** ********.
*********, ***** ********** **** ****** ** a **** **** * **** ** detected *** * ****** **** *** body ** ********.
Body **** ******** **** **** **** ** *** *************
**** *** ****** **** ***** **** weighted **** *** *********** **** **** short ** **** **** ** * person. ******, *****, *******, *** ******** would ***** ******** ******** ** **** if **** *** ***** ** **** back, **** **** ***** ****** *******.
Gender *********** **** ******** ** ***** ***
******* ****** *** ******** **** ****** people ** **** ****** / *** PPF ******, ****** ************** *** ********** at ****** ********* ***** ******* ******** cannot ** *********. *** *******, *** woman ***** ***** *** ********** ********** as ****** ****** ** *** ******, but **** ** * ********, ******* visible **** ****.
***** ********* ***** ** *** * higher *** **** ********* ****** *** still ***** *** ** ***** ****** at ***** ****, ********* ** ***** classifications.
Skirts ******* ******** ** ****** *** *****
****** *******, ** * ****** *** detected ******* * *****, ***** ***** automatically ******** **** ** * ******, shown *****. ***** ************* *********** *********** clothing *****.
************, ****** ******** ****** **** **** hair, ** * ********* ***** * female **** ***** **** *** ******** from ****** ** ***** ********* ** classified ** ****, **** * ***** was ****, *** ******* *** ****** classified ** ******.
Verkada **** ** **************
******* *** *** ******** ****** ** all ****** **** **** ********. ** some *****, * ****** *** ******** and ***** ** *******'* **** ** people ******** *** *** ***** * gender. *** ***** ********* ********** ****** whenever * ****** ** **** *** detected.
Hikvision **** *** / ******* ***** ********
********* ****** *********** *** *** **** accurate ** *** ******* *** *** also *** **** ***********, **** ******** faces ** ** ******** **** ** and ** **** *** (~**+).
Hikvision **** ***** ******
********* *** *** ****** **** ******* compared ** ***** *********. **** ** long **** *** ******* **** *** subject's ****, **** **** ********** ********** as **** ***** ****** ***** ******** them ** ******.
Versions ****
*** ********* ******** **** **** ****** testing.
- ******** *.*-***-***-**: *.**.*.**(*****)
- ******** ******* ******: *.**.*.**
- ***** ***-*********-***: **.***.*******.*.*, ***** ****: ****-**-**
- ****** ***-******: *.**.**
- ********* ***-**********-*: **.*.** ***** ******
- ******* *****: *** *****
*****, ****** *** **** ***** ******* and * **** ********. ** ***** on **** ********, **** *** ****** expecting ** *** ****** ********* ***? Is ** ********* ************? ** ** it "**** ** *** ******* *" or?
* *** ** **** ***** ** be **** ************* (*.*., *********** ** demo) **** ****** ***. ** ** clear, * ** *** ******** **** some ***** **** *** ** ****** recognition *** * ******* **** ** not.
* ***** **** *** *********** ****** all *** **** ***** ** ****, but ** ***** ** ****** ** there *** * ******** "*******" ********, instead ** ****** *** ***********. ** it ****** ***, *** *** ****** for **** ** ******, *** ** you **** ** *** ***-********** ****** detections *** *** **** *** **** by ******* *** ******* ***, ** you're ******* ** ******, ****, *** unclassified *** ** ****.
****** *****. * *****, *** ****** should ******* **** **** **** ********** and **** **'* *********, **** *** so. **** **** * ******* ** an ***** ***** ** ********* **** to ******* *********** **** * **** level ** ******** *** ********* ***** not. **** *** **** ** ***** than ** ****. ******** *** ***** to ****** ************ *** "*******" **** becomes ********* **** **** ********.
** **** **** ***** ** "************" category *** **** **** *******, **** as ******, *******, **** ********.
** *** **** ********* **** ** search ******* ** ******, *** **** being **** *** ***** **** * search ** ******** ** ******** (****, with *******, **** *****, ****** ** X *********), *** **** **** *** some ** *** ********** ********* ** what *** *** **** ** *** from * ***** *****.
*** ***** ****, ** ******, ** that ** **** ****** ****** ** make * ********** ******** ** ***** factors, *** *** ******* **** ***** points *** ** **** **** ***** you ****** **** * ******* ********, so ** *** ******* "************" ** a *** ** ********** **** *** product ***** ** ** ****** ** make * **** ********. **** *** be *** ** *** **********, ******* and **** ********, **********, ** ***** factors.
**** **** ** **** * ****** category *** **** **** *** ******, where ****** ***** **** ******* ********** factors **** ************* (********* ****).
** ** *******, *** *** *** in **** ***** *** ******* ********** my **** ** ************ ******, *** in **** ** *** *** ********** and *****, *** **** ***** * Person ******, ********** ********** ** ** Male (****** ***-****** ***** ****).
*******, * ***** **** ****** ************** is *** ** *** ***** ***** we (*** ******** ** **** ** Vintra) ***** ****** *** * *** of *********** ** *** **** ******* years.
** *** **%, *** **** * did **** ******* ***** ******* * Pumpkin ***** ***** *** ** **** down ** **%.
************************** ***. ****. *** * **** had * *** ******* ***** ****** myself ** * ****.
* ***** **** **** ** ********* is ******* *** ** *** ****. I ***** ****** ************* **** * reliable *******/******* **** ** **** ** question **’* ********. * **** ***** alarms ** *** **** ** ****** contributes ** * ******* **** ***** to ****** *** ****** ** **** system(s). * ***** ******* *** ****** of **** *** *** **** ****** providing **** ********** ******** ****** **** testing ** ***** *********. ****** ********* seem **** * ***** ********. * can’t ****** **** ***** ** *** get **** ** ******** *********** ******.
*** * ** ******* *** * female **** * *** ***** *** blue *****. ***** **** ** ****** the ******* *** ***** ************ *** be ****** *** *** **** *** many ****** *** ***** **** *******. This ** ********* **** *** ** done **** ********'* ********** ******.
* ***** ** *** *** ***** that * ****** **** ***% ******** would ** *** ****. *** ***** that **** **** ******** ***** ****** (for * *** ** *******), *** question ** ** **** **** ** the **** **** ******. ** *****'* make *** ****** ******* ** ** solves **** ******* **% ** *** time. ******** ****** ** * ****** usage ** ****** *********.
** *****'* **** *** ****** ******* if ** ****** **** ******* **% of *** ****.
*****, ** ***** '****' **% ** the ****, ** **** ** **** everyone *** ******-************* ********.
****: ** ***, * ***** **** could ***** ****** *** ***** ****************. It's *** ***** *** ********* ** make ********, **'* ******* ** *** viewer ***** ** ** *** ****** it's ********* ***** *** ******** *********.
" * ***’* ****** **** ***** do *** *** **** ** ******** classifying ******."
** **** ****** ** * ****** crossing ****** ***** ** **** ***** be ****** *** ********* ******** *******, in **** ********* ** ****** *** mixity ******** *** ******** *******, ** be ******* ** * *** ******* to ******* ** * ***** **** area...
** **** ******* ****** **** **** a *** ***** ***. ** ******** misidentification *** **** *** ****** ********** our ***** ****** (* **** ** his *** **'*) ** * ******. We *** **** ******* *** ** appears **** *** ********* **** **** extra ****** ** *** ****** *****. He's **** **** **** *** ******* for ***** * *****, *** * still **** ******* ***** **.
*** *** **** ** **** ***** on **** ***** *** *** ******** involved, ** *'* *** **** ***** to ** **.
* ***'* ********** *** ***** ** a **** ** ******** ** ***. I **** **** ******* ************* *** a **** ***** **** *** *************** cheapen *** ******* ********* ******* **** they ** *** ****. ***** ** works **** ********** * **** **** gender *************** *** **** * "****, why *** **** ***" ******* **** few *** ***, *** ****, *** does **** **** **** ****.
*** *******, * *** ***** **** we *** * ***** ** ** otherwise ********** ****** *********** ******** **** the ******** ********. *** ****** *** not ******* *** ****** *********** ******** was ******. *** **** ** ******* identification *** **** **** *** ****. The ******* ****** ** **** * single **** ******* **** ****** *** being ********** ** *'* ***** **** this ****** *** * *'**" ****. Hair ****** *** *** *** **** cause. **** ***************** ****** * ******* joke ** *** ***** ** *** the ****** ***** ***** ** *** product. ***** **** *** *** *** sole ****** ***** ************* ** *** definitely *** ***** ******. *** *** and ****** ************** **** *** ***** been ******* **** *** ****** *********** analytics *******.
* ***'* ********** *** ***** ** a **** ** ******** ** ***
*** *** **** *** ***** * have **** *** *** ****-***** ****** and *** ****** ********* ************ (***** are **** ********* ****-*****).
***, ** *** ** *** ***** days ** *** **** ***** ** analytics, ***** ******* **** ** **** to ******* **** ******* ***** ********** attributes ** ** ******, *** **** start ** ****** *** **** ******* of ** ******* *****, *** **** that ***** *** ******** ******* ** the *****.
* ***** *** **** * ****** today ****** ***** ** * ****** for ****** ***************, ** * ***** it ** ******** ** **** ******** enough **** ** **** ** ******* a ******** ******* ** **** *** specific *** ****. *** **** *********** correctly, ** *** ******* ***** ************* for *** ****.
****** *** *********** ** *** ******* or *** ***** ****** *** ****** after ***. *** *** **** * trans?
***** **** ******* ** ****** ***********, I ** ***** ***** ******** ******** to "**********" **** ****** ************** ***** to * ****** **** **********.
"**** **** ******* * *** ***** and **** *****" ** ********* **** can ** ******** **** * ******* accuracy *** **** **** **** "* woman ***** ** ******."
😂*** *****. ***** ** *** **** say **, * ****. *** **** comes ** **** ** **** ******* video ** *** ***/*** ** ******** throwing * *** *********** ** “**’**” 😂😂😂😂
***** ** ** ******** ** *** that **’** **** *** ********* ** see **** ** **********? 😂
*** ****, ** *** ****** **** it ***** (** ***** ****) **** will ***
*** ******* *** *** ********* *** the ****** *** **** ***** ********* based ** *** ******* ** ***** of *** *******.
** *********** ***, ******, **** *** other ******** “*****” **********, *** ***** display ******* *** ** ********* ** programmed ********* ********.
** ** **** ** ***** ********* retirement ***********, **** ***** *** ******* pads.
** ****** ** *** ****** ** the **** *********? ****** *** * friend.
*** ********* ******* ***/****** ** * facet ** *** *********** ****** *******. With * ****** *********** ******** **** descriptive ******, *** ******* ***/****** ****** only **** ** ** **** ****** to ******** * ****** *** *** a ********** *** ** ****** **** which ** ******* ****** *** ******. Once ** ***** ** ******** **** initial ****** ******* *** ****** ******* converges. *** ****** ** ******* ** searches ** *** ** **** ******* accuracy *** ** *** ******* ** operator *** **** **** **** *** looking ***. *** *** **** ******, gender ******* *** **** **** ******** in ** ********** ****** **** ** initiated **** **** ** ******** *****. As *** ********** ******** **** ** natural ******** ****** ** *********** ********, more ******** ****** ****** **** ** used.
** *** ******** * ****** *** it ****** *** *********, ******** *** search ********* ***’* **** ** **** what ** *** ******* *******.
* ****** *** ******, *** *****, black *****. **% ** *** ***** in *** ***** *** ******. **** further ******** ** ****?
*****. ****** *********** ********** ****** **** physics *** *********** ************ ** *** NOT ****** *********** **********. **** ******!
**, **** ** *** ***** ***** the **** **** ******* ** *** classifying ****** *********? *** ********** ******** is: ** ***** ********* ***** ****** their ****** ** ******* * ***** even **** *** **** ** *********** (with **** ***** ** *****), ** instead ** *** ******** *** ********* that ** *********?
******.