Technology to automatically identify the frontal body orientation of individuals in real-time multi-camera video feeds
AssigneeIntel Corporation
InventorsQiang Li, Wenlong Li, Yumeng Wang, Xiaofeng Tong
Life of this patent
Estimating the term…
Abstract
Methods, systems and apparatuses may provide for technology that detects an individual in a real-time multi-camera video feed and generates three-dimensional (3D) skeletal data based on the real-time multi-camera video feed. The technology may also automatically identify a frontal body orientation of an individual based on the 3D skeletal data and one or more anthropometric constraints.
Claims24
A performance-enhanced computing system comprising:
- a network controller to receive a real-time multi-camera video feed;
- a processor including logic coupled to one or more substrates, wherein the logic is implemented at least partly in one or more of configurable logic or fixed-functionality hardware logic, the logic coupled to the one or more substrates to:
- detect an individual in the real-time multi-camera video feed,
- generate three-dimensional (3D) skeletal data based on the real-time multi-camera video feed, wherein the 3D skeletal data is to correspond to the individual, and
- automatically identify a frontal body orientation of the individual based on the 3D skeletal data and one or more anthropometric constraints;
- and
- an immersive video subsystem to generate a video frame from a perspective of the individual based on the frontal body orientation and the real-time multi-camera video feed.
A semiconductor apparatus comprising:
- one or more substrates;
- and
- logic coupled to the one or more substrates, wherein the logic is implemented at least partly in one or more of configurable logic or fixed-functionality hardware logic, the logic coupled to the one or more substrates to:
- detect an individual in a real-time multi-camera video feed;
- generate three-dimensional (3D) skeletal data based on the real-time multi-camera video feed, wherein the 3D skeletal data is to correspond to the individual;
- and
- automatically identify a frontal body orientation of the individual based on the 3D skeletal data and one or more anthropometric constraints.
At least one computer readable storage medium comprising a set of instructions, which when executed by a computing system, cause the computing system to:
- detect an individual in a real-time multi-camera video feed;
- generate three-dimensional (3D) skeletal data based on the real-time multi-camera video feed, wherein the 3D skeletal data is to correspond to the individual;
- and
- automatically identify a frontal body orientation of the individual based on the 3D skeletal data and one or more anthropometric constraints.
A method of operating a performance-enhanced computing system comprising:
- detecting an individual in a real-time multi-camera video feed;
- generating three-dimensional (3D) skeletal data based on the real-time multi-camera video feed, wherein the 3D skeletal data corresponds to the individual;
- and
- automatically identifying a frontal body orientation of the individual based on the 3D skeletal data and one or more anthropometric constraints.
Dependencies are inferred from the claim text.