Crowdsourcing Object Recognition - Hope Or Hype?

In the aftermath of the tragic disappearance of Malaysia Flight MH370 bound for China, Tomnod has established a crowdsourcing effort to detect the downed plane or its wreckage, by volunteers poring over satellite imagery of the most likely incident areas.

My question is: Is the state of our finest world class image analytics such that we have a greater chance of success using untrained humans than our fastest computers with their best algorithms? Isn't it easier to detect a submerged plane, or strewn flotsam/jetsam than whether a person is acting suspiciously in a crowd?

Do you think they are using any analytics from any of the companies were used to hearing about, i.e. Video IQ, Aimetis, 3VR, BRS Labs etc?

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