• No results found

A real-time video surveillance system with human occlusion handling using nonlinear regression

N/A
N/A
Protected

Academic year: 2021

Share "A real-time video surveillance system with human occlusion handling using nonlinear regression"

Copied!
5
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)A real-time video surveillance system with human occlusion handling using nonlinear regression Citation for published version (APA): Han, J., Feng, M., & With, de, P. H. N. (2008). A real-time video surveillance system with human occlusion handling using nonlinear regression. In IEEE International Conference on Multimedia and Expo, 2008 : Hannover, Germany, 23 - 26 June 2008 (pp. 305-308). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICME.2008.4607432. DOI: 10.1109/ICME.2008.4607432 Document status and date: Published: 01/01/2008 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, please follow below link for the End User Agreement: www.tue.nl/taverne. Take down policy If you believe that this document breaches copyright please contact us at: openaccess@tue.nl providing details and we will investigate your claim.. Download date: 04. Oct. 2021.

(2) A REAL-TIME VIDEO SURVEILLANCE SYSTEM WITH HUMAN OCCLUSION HANDLING USING NONLINEAR REGRESSION Jungong Hana , Minwei Fenga , and Peter H.N. de Witha,b a. University of Technology Eindhoven, 5600MB Eindhoven, The Netherlands b CycloMedia Technology, 4180 BB Waardenburg, The Netherlands jg.han@tue.nl ABSTRACT.      

(3)     

(4)                                                             ! "  #   "#  $ #  .          . .        "#     %          

(5)          !      .  $      

(6)      % .    &          .                                   '   % .             %         

(7) (  %    (        )*

(8) +*       . 1. INTRODUCTION ,                 

(9)         !      ( -% %           %               #       

(10). %             $    

(11)      %  (            .   !    ( %                  %     /              .                0                 (                  !    

(12)              1(  2)3    

(13)   

(14)   !            %             (        W 4 2+3   

(15)               . !                  

(16).          -%                   

(17)  243   

(18)   

(19)     $            ( .  !               

(20)                                  

(21) (   $ 253               .                   

(22) & 6  (               %.      .    !           !  7              

(23)           .  !      

(24). 978-1-4244-2571-6/08/$25.00 ©2008 IEEE. Fig. 1 -      !         .      /   !     283                .    &     !          % .       #     !           %!                         .                %         .             real-time       !   

(25)        %     %   #   !     &

(26)            

(27)               &                       .  "#  %! 0       .    

(28)          .  %    

(29)            &          .             9               

(30)      (                                                   

(31)     (             %   (        9         .  .   %   .         . 2. SYSTEM OVERVIEW # ) %  :%       %          ) Object segmentation. 0     !     2;3       !    . 305. Authorized licensed use limited to: Eindhoven University of Technology. Downloaded on April 8, 2009 at 09:18 from IEEE Xplore. Restrictions apply.. ICME 2008.

(32)    

(33)                                   Occlusion detection.                        !   .        !   "          ! !       #          !        . $        % !  !

(34)    &       ' Object tracking.        '      

(35) (                        !    ) Trajectory generation. *      &$      (  !

(36) + !     ,   -   .,-/                   

(37)    0      !           (   &  "              1   &                        (  

(38)          

(39)   ,-   &$         2'+. Fig. 2 %&     81       1        !    ((   1   . 4 U (f |d)      $   9   f           &     $      F     

(40)    B   : d      (         Ci     5     i Vi (f, d)      $    # 1 Vi (f, d) =.  

(41) (     ./        (  &     !  

(42)                       $            3  $   !     ( $      4!(                            5 $   

(43) (     ./   5      !

(44)   !                             $  3               3       (         $   $   $   ! !  (    (  "    !                 5        ! ! $   !  (      3      $      (  

(45)     2       (      . 

(46)   (      .   Gaussian.     $         $ !          Gaussian           ( ! $        !   !       (  !  -$ !       $     ! ((        &      $                    # $          $  $    $3      $ ( $    $  !                   !        $        $     6       *       $    &      $  $                      $   $      3  # 1. X X | {z } | {z } Vi (f, d) +. i. unaffected by label of j. Vi,j (f, d) .. α1  fi = Ii  Ti = 255 α2  fi = Ii  Ti = 0 0  ! . ./. !  I       

(47)    & "       $     Ii = F :  !  Ii = B  Ti      (      i $     Canny    " Ti = 255    i   $  Vi,j (f, d)     $             $ 4 !  ;  3 9 1. 3. TEXTURE-CONTROLLED OBJECT SEGMENTATION. U (f |d) =. 8>< >:. Vi,j (f, d) =. 8>< >:. β1  Ii = Ij  Ti = 255 β2  Ii = Ij  Ti = 0 0  ! . .'/. "      α1 = 3 β1 = 1  α2 = β2 = 2     !         $       < $     (     $     $         . 4. OCCLUSION HANDLING USING NONLINEAR REGRESSION  

(48)          !   $   $     !                $     '=> !    !

(49)  >   $        " >               !              $    &                          .           $              3             #  $   .    75 × 50 / 0 $        ! $         "    !   $           4!(    5         >  !  1 .7/ !       (         $        ! (             (                : ./ 

(50)      >    $     &          ! #$ model   &    $          ?!  !     (  .    smooth ( !      $   $       5 "       (         (         %           !             .   $         . .7/. (i,j)∈+i. depending on label of j. 306 Authorized licensed use limited to: Eindhoven University of Technology. Downloaded on April 8, 2009 at 09:18 from IEEE Xplore. Restrictions apply..

(51) Table 1. 3  

(52)      .  . Fig. 3 .   

(53)       

(54)   . 

(55)    .    .   .    . 3. 4). 2   . 5  6.  "  . 6778. &* &8. 5  9.  "  . :7 ;8. ;1 &8. 6778 ;/ /8. 5  *.  "  . 6778. 6778. 6778. 5  /.  "    . ;7 :8. && 18. &1 :8. 5  1.  "    . 1/ ;8. && 98. <& :8. 5  :.  "    . 6778. 6778. 6778. 4.1. Locate the people during the occlusion.  .              .    ! !     (   .          . .  ! 

(56)      .  

(57)      

(58) . 2D.    .            .     .  !  "    .  

(59)      . y  . 

(60) . x. #  .         . y  . 

(61)     .  

(62)   

(63)     

(64)     ). *. . {xi , yi }i=m/2...m.         .    . +    ! . F (c, x). μ. c.                  .      . . {xi , yi }i=1...m.   . .      . xi. yi.  .  . x . y  . i.  . .  . 

(65) . ith. (xi , yi ).      . .   .      .      .    . . χ2      

(66)  .   . ! m      (xi , yi )

(67)    F (c, x)  !.  . χ2 =. : m. (yi − F (c, xi ))2 .. $/(. . F (c, x).         .     .    . c = {c0 , c1 , . . .}. Gaussian.      . Gaussian.   .  !.  .     

(68) +  !  .            . ?  

(69)                 .      . -.        .               %*'      . .      . . )   

(70)  " . ? . n  

(71)  n     .     .    .    

(72)    .     .   

(73) 

(74)  .  . . 

(75)    . {ui }i=1...m   nth. Tˆn (ui ) >  ui              i      

(76)     )    .   .            

(77)  .    .  

(78)       .  

(79)         .

(80)  . 2       

(81) . 4.2. Recognize the people during the occlusion.  . i=1    

(82)       !. σ.   . >!     .  .   

(83) . -   +    !. $

(84) (     . . $1(.       ! !     .     

(85)     .   

(86)       .    =..          

(87)

(88)  . 

(89) . ,.  "    .    

(90)          

(91) .  

(92) .             ! $ (    .     .  

(93)     ! . #         . Gaussian.   

(94) . {xi , yi }i=1...m/2. - !

(95)          .  

(96)        ! .     .     !      .     $      !.       .  .        $ %&'        ( . {xi , yi }i=1...m.              

(97)      +  .  +   .  . . . ˆ j (ui ) W. .       .        .      . .     .     .        ! !         0     !     . F (c, x) = c1 exp(−. ˆ j (ui ), Tˆn (ui )). Cj = arg max ρ(W.     . 2. (x − c2 ) (x − c5 ) ) + c4 exp(− ). 2c23 2c26. $1(    .  !.   .          ! .  .    !   . $:(. n. 2. ˆ j (ui ), Tˆn (ui ))           ρ(W )   ρ .         .   

(98) + %*'   .   

(99)  

(100)  .  + !. c   !    

(101)  !   2    .    

(102) F (c, x)      + . 5. EXPERIMENTAL COMPARISONS.  !  $ "(     !    . xi  F (c, xi ) ≥ F (c, xj )  |xj − xi | <   !  

(103)  F (c, xi )    !  

(104) ! .     

(105)   . 

(106)     . 

(107) .  > 0. 3        .  . 2  

(108) .          . "         .   .  !.        

(109)    

(110)   . 2.   $     .  .     ! .         ! 

(111).      !. 1, 000

(112)  (   . !  

(113)    

(114)          .   @*7=. #     !.  +     .   .    "         

(115)    .    "           #     

(116)       .    !  !.    .              "   .   

(117)   . 2 !        . . 70%

(118)  #     ×9/7     91>

(119)  .            ! .  *97. 307 Authorized licensed use limited to: Eindhoven University of Technology. Downloaded on April 8, 2009 at 09:18 from IEEE Xplore. Restrictions apply..

(120) Fig. 4.   

(121)  

(122)    . .   .      

(123)              

(124)         

(125)               .  .

(126)   

(127) . !       "  

(128)   #$%     "& 

(129)   '((      #)%  +         

(130)    

(131)  "   

(132)        . 70%. >  

(133)      . *. *     .              .              .       " 

(134)     . 82.7%  

(135)     

(136)      *  " & 

(137)       

(138)  96.4%      

(139)  " 

(140)       93.3%     " ,

(141). = &   *  

(142)     

(143)    

(144).    . *". *    "  

(145)       

(146) .    . Fig. 5. )   -   & .      .        9  

(147)    

(148)   

(149)   *           

(150)   & 

(151)                 . real-time 90%  

(152)     

(153)    . .      

(154)           . .  &  -    . 7. REFERENCES.         -    * "   

(155) 

(156)    #/%           &           

(157)              . 0 . #+%. *  -". "   

(158)     A .BBB *.    - &             . .        . +/  3  #'%.     

(159)  -       . ,

(160).      

(161) 

(162)    

(163)   -        . occlusion  . #$%. .       .   . < . @!). #)%. * -      6".7 $89 6:. :. ,   8.  

(164)    . :  7.   6. C. D  B. @C"  . C"   . 7 8@?   . + . //"++( '(($. E F   *@? 

(165)         ". F. F   @.    8   -   . 

(166)    A 6 #3%. 6. C  6. . =. :. .:6.  . '4"$+ '((). * @<

(167)    & .        & A .BBB *. 6. CONCLUSIONS. 6?. . '/  +'  '(3/"'(44 '((3 #4%. G.  <. ,  6 . D.  !   ! @. * : B    1' .    

(168)       . ,      -       

(169)  

(170) ,"   

(171)     =  . "   .         

(172)  A .BBB. .         

(173) "      .          -   . '''"''3. 

(174) 

(175)    A 6 : .::7  +(3/"+(41 '(($ #5%.     ;       . <. '+  #1%. 1         " .  

(176)      <. . "   &A .

(177)   7   : 

(178)  . 

(179)   

(180)    1) 1' 11$ 34  )5 33  ".    . .  

(181) A .BBB * 6?.  '1  1  15)"133 '(($.   -       .   

(182)     

(183)   

(184)      ". *

(185)   ,

(186). <. +//4.  "   "&     2  '( )1 1() /' .   .  

(187) . A 6. 1

(188)    .  

(189)  -          

(190) . / (3    . .. 6?. . 34("341 +//3.           

(191)   

(192) ". .      

(193)       

(194) "         &  . : ! ? ?9  * <  ? 6  @6& . #/%. .  

(195)  <    < @. $ .          A .BBB * 4 . 4(/"4$( '(((. 308 Authorized licensed use limited to: Eindhoven University of Technology. Downloaded on April 8, 2009 at 09:18 from IEEE Xplore. Restrictions apply.. 43("434 '((5. "     6?. . '' .

(196)

Referenties

GERELATEERDE DOCUMENTEN

f~ Winstknopen: (rente-opbrengst, toename van volume of gewicht door lucht of water- opname etc.). De tot ale uitgaande stroom is gelijk aan de met een factor

Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication:.. • A submitted manuscript is

Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of

Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of

Vanaf het moment dat er archeologische sporen werden aangetroffen werden deze opgegraven zoals opgelegd door de minimumnormen voor het archeologisch onderzoek en door de

We present EnsembleSVM, a free software package con- taining efficient routines to perform ensemble classifi- cation with support vector machine (SVM) base mod- els (Claesen et

As the estimation of model parameters depends to some extent on the quality of the external control spikes, it is advisable to check the quality of the external controls and

DOI: 10.1107/S1600536807058850 Document status and date: Published: 01/01/2007 Document Version: Publisher’s PDF, also known as Version of Record includes final page, issue and