We want to configure a system for detecting and tracking basketball shots made. We have control over the cameras, so we can choose anything from a smartphone to a GoPro.
Assume the scene is a typical high school gym. For the purposes of object detection and tracking, is it better for image processing to use an iPhone 7 or a GoPro (which has a larger sensor)?
Would a single camera with a wide HFOV (e.g., GoPro) allow for faster image processing than a camera like the iPhone 7 with a narrow HFOV?
Would a stereo system accelerate ball detection and tracking, or would the costs of stereo calibration outweigh the benefits of depth data? This paper from 1999 studies the benefits of stereo vision, but it seems like it's likely outdated now.