公开(公告)号：US20240161902A1

公开(公告)日：2024-05-16

申请号：US18505761

申请日：2023-11-09

Applicant: NEC Laboratories America, Inc.

Inventor： Deep Patel ,  Alexandru Niculescu-Mizil ,  Iain Melvin ,  Seonghyeon Moon

IPC: G16H20/30 ,  G06T7/292 ,  G16H50/20

CPC classification number: G16H20/30 ,  G06T7/292 ,  G16H50/20 ,  G06T2207/10016 ,  G06T2207/30196

Abstract: Methods and systems for tracking movement include performing person detection in frames from multiple video streams to identify detection images. Visual and location information from the detection images are combined to generate scores for pairs of detection images across the multiple video streams and across frames of respective video streams. A pairwise detection graph is generated using the detection images as nodes and the scores as weighted edges. A current view of the multiple video streams is changed to a next view of the multiple video streams, responsive to a determination that a score between consecutive frames of the view is below a threshold value and that a score between coincident frames of the current view and the next view is above the threshold value.

公开(公告)号：US20240161313A1

公开(公告)日：2024-05-16

申请号：US18505732

申请日：2023-11-09

Applicant: NEC Laboratories America, Inc.

Inventor： Deep Patel ,  Alexandru Niculescu-Mizil ,  Iain Melvin ,  Seonghyeon Moon

IPC: G06T7/246 ,  G06T7/292 ,  G06V10/82 ,  G06V20/40 ,  G06V20/52 ,  G06V40/10 ,  G16H15/00 ,  G16H40/67

CPC classification number: G06T7/248 ,  G06T7/292 ,  G06V10/82 ,  G06V20/41 ,  G06V20/52 ,  G06V40/10 ,  G16H15/00 ,  G16H40/67 ,  G06T2207/10016 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30196 ,  G06V2201/03

Abstract: Methods and systems for tracking movement include performing person detection in frames from multiple video streams to identify detection images. Visual and location information from the detection images are combined to generate scores for pairs of detection images across the multiple video streams and across frames of respective video streams. A pairwise detection graph is generated using the detection images as nodes and the scores as weighted edges. Movement of an individual is tracked based a constrained answer set programming problem, with constraints determined based on matching scores and logical assumptions. An action responsive to the tracked movement is performed. Tracking of movement of a patient in a healthcare facility can be used to inform treatment decisions by healthcare professionals.