Need help getting people out of a time lapse

Okay, this is what I want to do. I have a clip of three guys working on a graffiti artwork. Its 30 minutes long. I want to speed it to a time lapse, but I dont want to show the bodies of the three guys. So the final product would look like the graffiti forming by itself.
The first thing I tried was to draw an animated 16-point garbage matte following the bodies while the layer below is a still frame of the final product. This will take me forever though. So I tried the time warp effect. I thought I could just blur out the bodies enough so that theyd just look like inconspicuous shadows moving around as the artwork forms. But rendering is a *****. I havent mastered the effect either. I couldnt figure out the proper settings so that the three guys would blur out enough so they wouldnt be too recognizable. (Ghosting doesnt really cut it either.)
What would be a good idea to get this thing done?
Really appreciate the help. Thanks!

My suggestion would be to reshoot another project, but in time lapse using OnLocation. Figure out how long you want the clip to be, and from that how often you'll need to catch a frame. Say it works out to one frame every two minutes. So, every two minutes make sure the artists are out of frame.
That's the only way I know of to really accomplish the desired end result.

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    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('23-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),19067.69,18960.41,4152.6,0,4048,3293,442,313);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('30-MAR-09','DD-MON-RR HH.MI.SSXFF AM'),18717.99,18717.99,3923.69,0,4408,3219,593,596);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-APR-09','DD-MON-RR HH.MI.SSXFF AM'),17335.16,17335.16,3769.08,0,3928,2997,514,417);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-APR-09','DD-MON-RR HH.MI.SSXFF AM'),18967.39,18967.39,4157.76,0,4144,2991,527,626);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-APR-09','DD-MON-RR HH.MI.SSXFF AM'),23090.88,23090.88,4427.96,0,5544,4493,560,491);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-APR-09','DD-MON-RR HH.MI.SSXFF AM'),24197.98,24132.99,4248.66,0,6680,5190,606,884);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('04-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),20202.21,20137.22,3714.68,0,7052,6170,422,460);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('11-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18514.48,18514.48,3266.06,0,5508,4178,571,759);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('18-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),18678.68,18678.68,3814.07,0,5824,4345,633,846);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('25-MAY-09','DD-MON-RR HH.MI.SSXFF AM'),17937.18,17937.18,3051.52,0,4844,4986,529,-671);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('01-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17445.75,17445.75,3079.91,0,5028,4810,656,-438);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('08-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17327.88,17327.88,3263.29,0,6112,4674,672,766);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('15-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17241.72,16937.33,3328.27,0,5792,4490,567,735);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('22-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),16625.83,16625.83,3485.18,0,5408,4319,761,328);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('29-JUN-09','DD-MON-RR HH.MI.SSXFF AM'),17002.84,17002.84,3091.09,0,5664,4369,544,751);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('06-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16339.19,16274.2,3075.3,0,4784,3440,697,647);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('13-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17165.12,16885.14,3458.03,0,4320,3296,640,384);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('20-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),17029.77,16899.79,3198.91,0,4448,3449,645,354);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('27-JUL-09','DD-MON-RR HH.MI.SSXFF AM'),16596.89,16596.89,3015.54,0,4624,3288,665,671);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('03-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),16468.58,16468.58,2981.35,0,2224,3495,564,-1835);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('10-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18625.48,18550.5,3524.44,0,4856,3482,578,796);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('17-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),24538.54,24323.55,5580.71,0,5260,3771,608,881);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('24-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),18081.37,18081.37,3533.45,0,5980,3080,553,2347);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('31-AUG-09','DD-MON-RR HH.MI.SSXFF AM'),17183.25,17183.25,3487.12,0,2544,3262,615,-1333);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('07-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),17688.41,17575.29,3424.17,0,4800,3480,591,729);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('14-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),18211.29,18211.29,3806.32,0,3968,3104,527,337);
    Insert into PERIOD_DATA (HOT_DOG_STAND_ID,WEEK_DATE,NET_SALES2,BUNS24434,PICKELS_AW38,MUSTARD_TB56,CHICKENHEADS33,PIECES_SOLD34,SCRAPS35,PIECES_UNACCOUNTED) values (141,to_timestamp('21-SEP-09','DD-MON-RR HH.MI.SSXFF AM'),16809.21,16744.22,3014.61,0,4128,3124,710,294);
    SELECT HOT_DOG_STAND_ID
    , DECODE(TRUNC(week_date , 'iw') ,
             to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
             to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0) AS week_nbr
    , SUM(NET_SALES2)                                                                                                                                                                                                                                                     AS net_sales2
    , SUM(BUNS24434 ) BUNS24434
    , SUM(PICKELS_AW38) PICKELS_AW38
    , SUM(MUSTARD_TB56) MUSTARD_TB56
    , SUM(CHICKENHEADS33) CHICKENHEADS33
    , SUM(PIECES_SOLD34) PIECES_SOLD34
    , SUM(SCRAPS35) SCRAPS35
    , SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
       /*--== Head average  net_sales / chickenusage*/
    , CASE
          WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
          ELSE ROUND(SUM(net_sales2) / ( SUM(ChickenHeads33) / 8 ) , 2)
       END AS Head_average
       /*--=== Efficiency =   (ChickenUsage  - scrappedDiv8 - unaccountedDiv8) / ChickenUsage)  * 100*/
    , CASE
          WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
          ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
       END AS efficiency
    FROM period_data per
    WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IY') AND TRUNC(TO_DATE( '24-AUG-09' , 'DD-MON-YY') , 'IW') + 6 + 7 * 4
    GROUP BY hot_dog_stand_id
    , DECODE(TRUNC(week_date , 'iw') ,
          to_date('24-AUG-09' , 'dd-mon-rr') , 1 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 ,
          to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 ,
          0)
    ORDER BY DECODE(TRUNC(week_date , 'iw') , to_date('24-AUG-09' , 'dd-mon-rr') , 1 , to_date('24-AUG-09' , 'dd-mon-rr') + 7 , 2 , to_date('24-AUG-09' , 'dd-mon-rr') + 14 , 3 , to_date('24-AUG-09' , 'dd-mon-rr') + 21 , 4 , to_date('24-AUG-09' , 'dd-mon-rr') + 28 , 5 , 0);The expected results will be:
    HOT_DOG_STAND_ID       WEEK_NBR               NET_SALES2             BUNS24434              PICKELS_AW38           MUSTARD_TB56           CHICKENHEADS33         PIECES_SOLD34          SCRAPS35               PIECES_UNACCOUNTED     HEAD_AVERAGE           EFFICIENCY            
    141                    7                      697067.09              694887.4               139149.91              0                      175808                 139454                 21036                  15318                  31.72                  79.32                  You can get these dame results by running endpot-to-endpoint query:
    SELECT  HOT_DOG_STAND_ID
         , max(7) as week_nbr
         ,sum(NET_SALES2)      net_sales2
          ,sum(BUNS24434 )        BUNS24434
          ,sum(PICKELS_AW38)      PICKELS_AW38
          ,sum(MUSTARD_TB56)     MUSTARD_TB56
          ,sum(CHICKENHEADS33)   CHICKENHEADS33
          ,sum(PIECES_SOLD34)    PIECES_SOLD34
          ,sum(SCRAPS35)         SCRAPS35
          ,sum(PIECES_UNACCOUNTED)   PIECES_UNACCOUNTED
        ---===== Copied code from outer query
              --==  net_sales / chickenusage 
                      ,   CASE
                             WHEN NVL( sum(ChickenHeads33) / 8    ,0)  = 0 then 0
                             ELSE ROUND(sum(net_sales2)/   ( sum(ChickenHeads33) / 8    ) , 2)
                          END as Head_average
                        --=== Efficiency =   (ChickenUsage  - scrappedDiv8 - unaccountedDiv8) / ChickenUsage)  * 100
                        ,   CASE
                                  WHEN NVL(sum(ChickenHeads33) / 8    ,0)  = 0 then 0
                                  ELSE   ROUND((((sum(ChickenHeads33) / 8 )  - ( sum(scraps35) / 8 ) - (sum(pieces_unaccounted) / 8 )) / (sum(ChickenHeads33) / 8 )) * 100, 2)
                          END as efficiency  
    from period_data
    WHERE week_DATE BETWEEN TRUNC(TO_DATE( '24-AUG-09' ,'DD-MON-YY'), 'IY') AND TO_DATE( '27-sep-09' ,'DD-MON-YY')
    group by hot_dog_stand_id;Thanks In Advance

    Hi,
    Welcome to the forum!
    Thanks for posting the CREATE TABLE and INSERT statements; that's very helpful. You could teach something to some people who have been using this forum for years (except that nobody can teach them).
    user12335325 wrote:
    The expected results will be:
    HOT_DOG_STAND_ID       WEEK_NBR               NET_SALES2             BUNS24434              PICKELS_AW38           MUSTARD_TB56           CHICKENHEADS33         PIECES_SOLD34          SCRAPS35               PIECES_UNACCOUNTED     HEAD_AVERAGE           EFFICIENCY            
    141                    7                      697067.09              694887.4               139149.91              0                      175808                 139454                 21036                  15318                  31.72                  79.32                 
    Do you mean the expected results will include the row above, and that the results will be this row along with the 6 rows you're already getting? (If you wanted just that one row, I suppose you would just run your second query.)
    That sound like a job for ROLLUP.
    VARIABLE   start_date     VARCHAR2 (11);
    EXEC         :start_date  := '24-AUG-2009';
         SELECT  HOT_DOG_STAND_ID
         ,      NVL (CASE
                   WHEN  week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
                   AND   week_date <  TO_DATE( :start_date, 'DD-MON-YYYY') + 35
                   THEN  1 + FLOOR ( (week_date - TO_DATE( :start_date, 'DD-MON-YYYY'))
                                             / 7
                   ELSE  0
                      END
                 , 7
                 )          AS week_nbr
    , SUM(NET_SALES2)                                                                                                                                                                                                                                                     AS net_sales2
    , SUM(BUNS24434 ) BUNS24434
    , SUM(PICKELS_AW38) PICKELS_AW38
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    , SUM(CHICKENHEADS33) CHICKENHEADS33
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    , SUM(PIECES_UNACCOUNTED) * - 1 PIECES_UNACCOUNTED
       /*--== Head average  net_sales / chickenusage*/
    , CASE
          WHEN NVL( SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
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       END AS Head_average
       /*--=== Efficiency =   (ChickenUsage  - scrappedDiv8 - unaccountedDiv8) / ChickenUsage)  * 100*/
    , CASE
          WHEN NVL(SUM(ChickenHeads33) / 8 , 0) = 0 THEN 0
          ELSE ROUND((((SUM(ChickenHeads33) / 8 ) - ( SUM(scraps35) / 8 ) - (SUM(pieces_unaccounted) / 8 )) / (SUM(ChickenHeads33) / 8 )) * 100 , 2)
       END AS efficiency
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                   WHEN  week_date >= TO_DATE( :start_date, 'DD-MON-YYYY')
                   AND   week_date <  TO_DATE( :start_date, 'DD-MON-YYYY') + 35
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                                             / 7
                   ELSE  0
                 END          -- week_nbr
    ORDER BY  week_nbr
    ;Notice I simplified the computation of week_nbr.
    Some other people have asked questions about hot dog stands recently.
    I'm curious; is this from a course? If so, where? What is the textbook (if any)?
    Thanks.

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