Not too sure where to put this, so I'll post it here and maybe mods can move it if its not appropriate.
Ive been doing some photogrametry experiments with drones lately, and Im pretty amazed how accurately you can reconstruct 3D meshes from 2D aerial photographs. If you're interested in seeing an example I recently made:
That got me thinking, why dont we use multiple camera's to reduce or eliminate false positives from shadows, light, well, anything that has no 3D volume ? In theory, with multiple camera's (or stereo cameras) you should be able to extract enough 3D information to eliminate 2D false positives. It wont help for 3D objects, like tree branches that actually move in the wind, but it would solve the vast majority of problems with motion triggering. Not only would changing lights or shadows be solved, you could do many new things, like trigger for objects with a certain volumetric size, regardless if they are close or far from the camera. You could differentiate insects from birds, from cats, from dogs from people.
Its probably not trivial to implement, Im sure its also compute intense (photogrametry certainly is), but I cant help but think it would be absolutely fantastic and open up so many possibilities.
Ive been doing some photogrametry experiments with drones lately, and Im pretty amazed how accurately you can reconstruct 3D meshes from 2D aerial photographs. If you're interested in seeing an example I recently made:
That got me thinking, why dont we use multiple camera's to reduce or eliminate false positives from shadows, light, well, anything that has no 3D volume ? In theory, with multiple camera's (or stereo cameras) you should be able to extract enough 3D information to eliminate 2D false positives. It wont help for 3D objects, like tree branches that actually move in the wind, but it would solve the vast majority of problems with motion triggering. Not only would changing lights or shadows be solved, you could do many new things, like trigger for objects with a certain volumetric size, regardless if they are close or far from the camera. You could differentiate insects from birds, from cats, from dogs from people.
Its probably not trivial to implement, Im sure its also compute intense (photogrametry certainly is), but I cant help but think it would be absolutely fantastic and open up so many possibilities.