I'd not much time (theme park and stuff...) It is strange, the old video was larger than this one, it has been enlarged unless the source was
not from a dvd (the camera must be PAL or SECAM), but it looked crappy anyway.
Now we have (from a frame from the video) 226 pix is 15 stories, i.e.
The total drop we have in the video (at the position the drop is measured) is 235 pixels
I use a video with 50fps using the bob doubler filter, DEMO:
http://rapidshare.com/files/145225184/b ... O.avi.html (only 64k, xvid codec), or
http://www.youtube.com/watch?v=bh7xLNqJ-XM
Here everything is slowed down, the left one is genuine interlaced video, the right part is
after using virtualdub's bob doubler filter. The reason that all frames are unique is because a single
frame contains information from 2 shots, the 1,3,5,... lines and 2,4,6,.. lines differ 1/50 second.
We see we can double the framerate, but this means that the error vertically wil become 2 times bigger.
Error analysis will not be done now in this post.
And here is the 50 frames per second movie, that is used to create the smeorograms:
http://www.megaupload.com/nl/?d=FGQPONV3
Smearograms
reduced to black and white (with nearest colour, which is a RUDE method)
cropped, rotated, mirrored:
A better analysis of the smearogram should be done, because the noise destroys the real motion.
I used an old simple script to get the data in real time/distance (using an other primitive method that converts
bitmaps into ascii...)
Drop with an offset (meter),t (sec)
------------------------------------
0.02,3.19431368857089
0.04,2.94859725098851
0.06,2.94859725098851
0.08,2.94859725098851
0.1,3.19431368857089
0.12,3.19431368857089
0.14,3.19431368857089
0.16,3.19431368857089
0.18,3.19431368857089
0.2,3.19431368857089
0.22,3.19431368857089
0.24,3.19431368857089
0.26,3.19431368857089
0.28,2.94859725098851
0.3,3.19431368857089
0.32,2.94859725098851
0.34,2.94859725098851
0.36,2.94859725098851
0.38,2.94859725098851
0.4,2.94859725098851
0.42,2.94859725098851
0.44,2.94859725098851
0.46,2.94859725098851
0.48,2.94859725098851
0.5,2.94859725098851
0.52,2.94859725098851
0.54,2.94859725098851
0.56,2.94859725098851
0.58,2.94859725098851
0.6,2.94859725098851
0.62,3.19431368857089
0.64,3.19431368857089
0.66,3.19431368857089
0.68,3.19431368857089
0.7,3.19431368857089
0.72,3.19431368857089
0.74,3.19431368857089
0.76,3.19431368857089
0.78,3.19431368857089
0.8,3.19431368857089
0.82,3.19431368857089
0.84,3.19431368857089
0.86,3.19431368857089
0.88,3.19431368857089
0.9,3.19431368857089
0.92,3.19431368857089
0.94,3.19431368857089
0.96,3.19431368857089
0.98,3.44003012615327
1,3.44003012615327
1.02,3.44003012615327
1.04,3.44003012615327
1.06,3.44003012615327
1.08,3.44003012615327
1.1,3.68574656373564
1.12,3.68574656373564
1.14,3.68574656373564
1.16,3.68574656373564
1.18,3.93146300131802
1.2,3.93146300131802
1.22,3.93146300131802
1.24,3.93146300131802
1.26,4.1771794389004
1.28,4.1771794389004
1.3,4.1771794389004
1.32,4.42289587648277
1.34,4.66861231406515
1.36,4.66861231406515
1.38,4.66861231406515
1.4,4.91432875164752
1.42,4.91432875164752
1.44,5.1600451892299
1.46,5.1600451892299
1.48,5.1600451892299
1.5,5.40576162681228
1.52,5.65147806439465
1.54,5.65147806439465
1.56,5.89719450197703
1.58,6.14291093955941
1.6,6.14291093955941
1.62,6.38862737714178
1.64,6.38862737714178
1.66,6.63434381472416
1.68,6.88006025230653
1.7,7.12577668988891
1.72,7.37149312747129
1.74,7.37149312747129
1.76,7.86292600263604
1.78,8.10864244021841
1.8,8.10864244021841
1.82,8.35435887780079
1.84,8.60007531538317
1.86,8.84579175296554
1.88,9.09150819054792
1.9,9.3372246281303
1.92,9.58294106571267
1.94,9.82865750329505
1.96,10.0743739408774
1.98,10.5658068160422
2,10.5658068160422
2.02,10.8115232536246
2.04,11.0572396912069
2.06,11.3029561287893
2.08,11.5486725663717
2.1,12.0401054415364
2.12,12.2858218791188
2.14,12.5315383167012
2.16,12.7772547542836
2.18,13.2686876294483
2.2,13.5144040670307
2.22,14.0058369421954
2.24,14.2515533797778
2.26,14.7429862549426
2.28,14.7429862549426
2.3,15.2344191301073
2.32,15.7258520052721
2.34,16.2172848804368
2.36,16.4630013180192
2.38,16.7087177556016
2.4,17.2001506307663
2.42,17.2001506307663
2.44,17.6915835059311
2.46,18.1830163810958
2.48,18.1830163810958
2.5,18.4287328186782
2.52,19.1658821314253
2.54,19.1658821314253
2.56,19.6573150065901
2.58,19.9030314441725
2.6,20.1487478817548
2.62,20.3944643193372
2.64,20.885897194502
2.66,21.1316136320844
2.68,21.3773300696667
2.7,21.8687629448315
2.72,22.1144793824139
2.74,22.3601958199962
2.76,23.0973451327434
2.78,23.0973451327434
2.8,23.8344944454905
2.82,24.0802108830729
2.84,24.5716437582376
2.86,24.81736019582
2.88,25.3087930709847
2.9,25.5545095085671
2.92,26.0459423837319
2.94,26.5373752588966
2.96,27.0288081340614
2.98,27.2745245716438
3,27.5202410092261
3.02,28.0116738843909
3.04,28.5031067595556
3.06,28.748823197138
3.08,29.2402560723028
3.1,29.7316889474675
3.12,29.9774053850499
3.14,30.4688382602147
3.16,30.9602711353794
3.18,31.4517040105442
3.2,31.6974204481265
3.22,32.1888533232913
3.24,32.680286198456
3.26,33.4174355112032
3.28,33.6631519487855
3.3,33.9088683863679
3.32,34.646017699115
3.34,35.1374505742798
3.36,35.6288834494446
3.38,35.8745998870269
3.4,36.6117491997741
3.42,37.1031820749388
3.44,37.5946149501036
3.46,38.0860478252683
3.48,38.8231971380154
3.5,39.0689135755978
3.52,39.5603464507626
3.54,40.2974957635097
3.56,40.7889286386744
3.58,41.2803615138392
3.6,41.771794389004
3.62,42.5089437017511
3.64,42.7546601393335
3.66,43.4918094520806
3.68,43.9832423272453
3.7,44.4746752024101
3.72,44.9661080775748
3.74,45.4575409527396
3.76,46.1946902654867
3.78,46.6861231406515
3.8,47.1775560158162
3.82,47.668988890981
3.84,48.1604217661457
3.86,48.8975710788929
3.88,49.3890039540576
3.9,49.63472039164
3.92,50.6175861419695
3.94,51.1090190171343
3.96,51.600451892299
3.98,52.3376012050461
4,52.5833176426285
4.02,53.3204669553756
4.04,53.8118998305404
4.06,54.3033327057051
4.08,55.0404820184523
4.1,55.531914893617
4.12,56.2690642063641
4.14,56.7604970815289
4.16,57.497646394276
4.18,57.9890792694408
4.2,58.4805121446055
4.22,59.2176614573527
4.24,59.7090943325174
4.26,60.2005272076822
If I use Maple's least squares (for ALL points) it gives
4.138242015-5.34017617274030254*t+4.37629473584810834*t^2
but there it tries to fit a parabola which cannot because in the beginning
there is no movement and at the end the acceleration decreases, but even with this the value is 8.75 m/s^2
To be continued.