Estimation of multi-person 3D poses and shapes from a low-resolution image

Accurately estimating 3D poses and body shapes from a single image is critical for several applications, such as behavior analysis and security alerts. Unfortunately, many existing multi-person reconstruction methods require the people present to be clearly visible in the photo to supply enough information. This becomes a problem when cameras have limited resolutions and the field of view is increased to capture individuals in distant areas, resulting in low-resolution images that provide little information.

alerts analysis applications behavior behavior analysis cameras computer sciences image images information low people person security