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> No one here could understand how to combine rudimentary image processing in such a way as to track a moving object over time? You make it sound easy, I don't
by ad404b8a372f2b9 4y ago
> No one here could understand how to combine rudimentary image processing in such a way as to track a moving object over time?
You make it sound easy, I don't know why those 10 authors even wasted their time publishing this. It reminds me of a joke about getting grants, you show someone your proposal and they'll tell you it's a bad idea and will never work, you show them your work after a few years and they'll tell you the results are obvious and everyone already knew.
I didn't tell him it's impossible, I said it requires a lot of work beyond scripting and specifically listed some of the aspects of the work that are easier to get into.
Of course they could get a job doing it, that would involve spending 8 hours a day working on the topic and doing all the things I described. You word it like you're disagreeing with me but go on to list skill after skill that's required to actually achieve this. A bachelor of science alone is three years of studies, data science and image processing are very specialized scientific skill-sets that take a long time to acquire. I've seen plenty of people take a 6-months bootcamp who are barely able to manipulate a matrix at the end. Knowing which datasets and problems to work on requires a scientific culture which you acquire by reading the literature, not just googling. Combining all these skills into an idea that results into a quality publishable scientific output is a job and it requires as much work as any job does.
By all means, let people do the work and contribute if it's interesting to them, but everyone here feels the same way when we see a paper come through here in which they "just" combine some Hough transforms and some observations "oh I could have done that." It doesn't work that way.
- deleted 4y ago[deleted]
- pbhjpbhj 4y agoI don't think the person you're arguing with did make it sound easy to do what it seems the paper authors did: which appears to be having the idea to apply this sort of analysis. As with so much development there is a massive gap between 'I can do that now, someone showed it worked' and 'I could have come up with that before anyone showed it worked'. Leading edge science becomes demonstrations that undergrads do after a time. Plenty of fields seem to progress when someone realises a simple idea can be applied in new way. 6-months to learn matrix arithmetic algos sounds like that person just wasn't cut out for that task. Best option here seems like encourage the person to try applying their domain knowledge from CV to the field at hand and ask them to report back how they get on. If they've applied Hough transforms before, perhaps, they might be able to refine the algos here, for example. tl;dr I think you're being a bit precious about it all.