My problem with your approach is simply that I think it will be unreliable and inaccurate. It's not that it wouldn't work 95% of the time, it probably will work very well in most of the cases. You will get different results from different camera angles. My point is simply that if you want to measure jumps with technical assistance you have to get it absolutely right. It must be as accurate as clocking the 100m sprint. A lot of testing would have to be done before that, with fixed cameras and you simply have to have a camera in bird eye's perspective because you have to know in which direction the skater is jumping. You cannot do this accurately with existing videos, because you don't know the position of the camera.
Well, consider the current judging system. Do you think the current judging is absolutely right? If not, then why does any change to the system have to be held to an "absolutely right" standard, if you don't hold the current system to the same standard? There's an old aphorism, "Perfect is the enemy of the good" -- the point is to
improve the judging system, rather than do-or-die with a mythical "perfect" system.
The camera angles issue is an interesting one -- because the judges sit on one side of the rink, and (IIRC) the video camera used by the tech panel is also from that vantage point, so under the
current judging system, they only have one vantage point to do their judging from already. So the problem you bring up already applies to the current system. The reason why I propose a "wide" camera that captures the skater's X-Y position within the rink is that by doing so, it more or less eliminates the camera angle issue (at least with respect to under-rotation), so the close-up camera only needs to determine the skate's orientation relative to itself. I *do* think that pretty much all the Internet videos I've seen that purport to show under-rotations pretty much ignores the camera angle issue which makes them bogus, but the "wide" camera produces the correction factor that eliminates this issue.
Regarding accuracy, how accurate do you think software algorithms need to be? More importantly, do you think that humans are more accurate? For example, from network slow-mo videos of 150 FPS, the accuracy of calculating jump rotation is around 15 degrees or so (the limitation is the FPS, higher FPS = more accurate). Do you think the current judging method (i.e. human eyeballs looking at slow-mo video) is more accurate than within 15 degrees?
Of course a lot of testing needs to be done prior to putting it to use, just with any other change. But part of the reason why I propose to do this using existing videos is because this allows it to be developed in parallel with existing methods. Not only that, but because existing videos are used, it allows for transparency as well as a backup in case people think the software algorithms aren't correct: they can look at the images themselves. I think this is better than something like sensors on the boots because it's then harder to present the data in a way that is easily digestible to judges/experts and/or the average layman.
I do in fact claim to be able to do this accurately with existing videos; not only that, I will
show how to do this with existing videos (namely, videos of the Olympics), mainly because I don't have my own camera equipment nor the budget to buy them and travel to competitions. The fancams that I'll use in effect act as the bird eye's perspective that you mention because they show the entire rink as well as the rink-side cameras used for most of the network videos, so I'll know the position of the network cameras. You are right though that if the camera's position isn't known, it's very difficult (though not impossible) to do; but I target the Olympics for this specifically because there's a variety of fancams of it that I've already found so I can figure out the camera positions.
While the use of more technology could be helpful, I don't understand the obsession with trying to eliminate the human factor. It's part of every single sport!
I think that's a fundamental misunderstanding that people have about technology in general. The purpose of technology isn't to replace humans. I think people think of technology as if we'll be competing with robot Terminators that will be flipping burgers so they can earn enough money to buy lubricant oil (yes, I'm aware that burger-making robots have been invented already). Technology is used to change how people do things, but the impetus is inherently still humans. In this case, it's a question of whether software algorithms developed by humans to analyze videos can be as good or better than people peering at videos themselves. There's also the "intermediate" alternative of whether humans analyzing videos in a different way is better as well; in fact, I favor this approach until the development of better software algorithms. This is pretty much like using rulers to measure distances and scales to measure weights: because for those measurable quantities, technological devices are more accurate and more consistent than humans.
Let me think of some examples. In motorracing, if there is a collision, it will be referred to the stewards. Three different stewards might look at the same rulebook, the same camera angles, and come to three different conclusions. Steward 1 might say, "Driver A turned in on Driver B, therefore, Driver A's fault." Steward 2 might say, "Driver B threw himself recklessly up the inside where there was not room, Driver B's fault." And Steward 3 might say, "They are equally at fault. Racing incident."
In rugby league, there is a video referee, with super slo-mo and frame-by-frame to determine tries - and the video referees STILL get it wrong.
I don't know if you noticed, but in the examples that you gave, it's humans that get it wrong. That different humans look at the same situation and come to different conclusions means that humans are inconsistent at gauging it. In your second example, how do you know the video referees get it wrong? It's because you the viewer (human) judge the same video differently than the video referees (humans) -- in other words, different people made different judgment calls.
If you wanted to find out how heavy something is, would you rather hand to someone to hold and tell them to give you a value, or would you rather put it on a scale? Certainly the scale may give a wrong value if it's not properly calibrated, but that's what technology does; it gives people a different role, not replace them. In this case, the human calibrates the scale, then the scale measures, and this process is more accurate and consistent than having people hold something and give their intuitive estimate. The same goes for video analysis.
Technology is not the be-all and end-all solution; it will not automatically make it so that no judging scandal will ever occur, or that fans will never disagree with results.
No, technology is meant to
improve judging, not to replace it. For example, in those examples that you gave, could you say "well see if we *didn't* have this technology, we would've gotten the call correctly"? For example, does someone who doesn't have access to slow-mo make better calls than someone who does have such access? Nobody said technology is some magic wand that will make the world perfect and give us unicorns and rainbows; it's merely a tool to assist us in our endeavors.
With better measurement technology, it doesn't mean that fans will never disagree with the results, but it will mean that fans will have much less disagreement about the measurable aspects of skating, such as under-rotations. (Unless fans propose better analysis of the videos or something, in which case I welcome it.)
But the things that can be objectively measured are only part of what makes one skating performance "better" than another. As long as qualitative factors count, human judgment will be necessary and disagreements will be inevitable.
Incidentally, I posted about this about a year ago when there was another thread about using better measurement technology in skating:
http://www.goldenskate.com/forum/sh...kating-Imagine&p=885727&viewfull=1#post885727
The gist is that technology can only
measure ("how much"), but they can not
give value ("how good"). In the case of under-rotations, technology can only give a calculation of the rotation angle, it cannot score that angle without human input. So even for quantitative factors, it's still humans controlling the process, it's just that humans don't have to go through the tedium of doing the measurements (or at least, make the tedium more streamlined if the process isn't fully automated). For qualitative factors, well, it's humans all the way until they are reduced to quantitative factors, and technology can only assist (i.e. slow-motion video to help humans gauge the artistic quality of a spin position).
As for the technology side of it, it's interesting to explore what might be possible and how it could be used, and which technologies are already far enough developed to be implemented right now.
But until someone brings the technology into a rink and tests it out in a real competition setting, I don't think we can know whether it is ready yet or not. So it makes more sense to try to figure out what might work than to take the Powers That Be to task for not having already implemented something that might or might not already be able to serve the imagined purpose.
Yeah I think that's part of the motivation for analyzing the videos -- if some random internet guy can do it, certainly people that are specialists in the field (image processing) can do a much better job of it. It's to show that the method can work, as a proof-of-concept. I certainly don't intend to write the software or start my own company analyzing skating metrics (I have some background in image processing but am far from an expert, I don't have the time because I"m working on my dissertation, this is a side interest not something I'm going to make a career of, etc.), but to show that we can already do a much better job of analyzing these measurable quantities than the current method of eyeballing things. Additionally, I think it'll lead to much less disagreement about what occurred; if there's an objective process for doing the analysis, then it's difficult for people to argue back and forth "the video showed it was under-rotated!" "no, the video showed it was not under-rotated!" which doesn't really elevate the discussion nor move the discussion forward.