公开(公告)号：US20190294889A1

公开(公告)日：2019-09-26

申请号：US16365581

申请日：2019-03-26

Applicant: NVIDIA Corporation

Inventor： Parthasarathy Sriram ,  Ratnesh Kumar ,  Farzin Aghdasi ,  Arman Toorians ,  Milind Naphade ,  Sujit Biswas ,  Vinay Kolar ,  Bhanu Pisupati ,  Aaron Bartholomew

IPC: G06K9/00 ,  H04N5/247 ,  G06T7/292 ,  G06T7/70

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

公开(公告)号：US20220391639A1

公开(公告)日：2022-12-08

申请号：US17337084

申请日：2021-06-02

Applicant: NVIDIA Corporation

Inventor： Prakash Gurumurthy ,  Milind Naphade ,  Yan Breek ,  Shuo Wang

IPC: G06K9/62 ,  G06N3/08 ,  G06T15/00

Abstract: Apparatuses, systems, and techniques to train neural networks to perform classification. In at least one embodiment, one or more neural networks are trained to perform classification based, at least in part, on grouping one or more sets of neural network training data according to behaviors of one or more objects within one or more images represented by the training data.

公开(公告)号：US11182598B2

公开(公告)日：2021-11-23

申请号：US16365581

申请日：2019-03-26

Applicant: NVIDIA Corporation

Inventor： Parthasarathy Sriram ,  Ratnesh Kumar ,  Farzin Aghdasi ,  Arman Toorians ,  Milind Naphade ,  Sujit Biswas ,  Vinay Kolar ,  Bhanu Pisupati ,  Aaron Bartholomew

IPC: G06K9/00 ,  H04N5/247 ,  G06T7/292 ,  G06T7/70 ,  G06T7/246 ,  G06T7/73 ,  G06K9/62 ,  G06K9/20 ,  G06K9/32

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.

公开(公告)号：US20200302161A1

公开(公告)日：2020-09-24

申请号：US16896431

申请日：2020-06-09

Applicant: NVIDIA Corporation

Inventor： Parthasarathy Sriram ,  Ratnesh Kumar ,  Farzin Aghdasi ,  Arman Toorians ,  Milind Naphade ,  Sujit Biswas ,  Vinay Kolar ,  Bhanu Pisupati ,  Aaron Bartholomew

IPC: G06K9/00 ,  G06T7/246 ,  G06T7/73 ,  G06T7/292 ,  G06T7/70 ,  H04N5/247 ,  G06K9/62 ,  G06K9/20 ,  G06K9/32

Abstract: The present disclosure provides various approaches for smart area monitoring suitable for parking garages or other areas. These approaches may include ROI-based occupancy detection to determine whether particular parking spots are occupied by leveraging image data from image sensors, such as cameras. These approaches may also include multi-sensor object tracking using multiple sensors that are distributed across an area that leverage both image data and spatial information regarding the area, to provide precise object tracking across the sensors. Further approaches relate to various architectures and configurations for smart area monitoring systems, as well as visualization and processing techniques. For example, as opposed to presenting video of an area captured by cameras, 3D renderings may be generated and played from metadata extracted from sensors around the area.