Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• H04L 67/104 - Peer-to-peer [P2P] networks
• G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
• G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
• G06F 16/182 - Distributed file systems
• G06F 16/23 - Updating
• G06F 18/25 - Fusion techniques
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/34 - Smoothing or thinning of the patternMorphological operationsSkeletonisation
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/66 - Remote control of cameras or camera parts, e.g. by remote control devices

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• H04L 67/104 - Peer-to-peer [P2P] networks
• G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
• G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
• G06F 16/182 - Distributed file systems
• G06F 16/23 - Updating
• G06F 18/25 - Fusion techniques
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/34 - Smoothing or thinning of the patternMorphological operationsSkeletonisation
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/66 - Remote control of cameras or camera parts, e.g. by remote control devices

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• G06F 18/25 - Fusion techniques
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/34 - Smoothing or thinning of the patternMorphological operationsSkeletonisation
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/66 - Remote control of cameras or camera parts, e.g. by remote control devices

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• G06V 20/00 - ScenesScene-specific elements
• G06F 9/455 - EmulationInterpretationSoftware simulation, e.g. virtualisation or emulation of application or operating system execution engines
• G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
• G06F 16/182 - Distributed file systems
• G06F 16/23 - Updating
• G06F 18/25 - Fusion techniques
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/34 - Smoothing or thinning of the patternMorphological operationsSkeletonisation
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06V 20/59 - Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• H04L 67/104 - Peer-to-peer [P2P] networks
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/66 - Remote control of cameras or camera parts, e.g. by remote control devices

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• G06V 40/00 - Recognition of biometric, human-related or animal-related patterns in image or video data
• G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• H04N 23/56 - Cameras or camera modules comprising electronic image sensorsControl thereof provided with illuminating means
• H04N 23/66 - Remote control of cameras or camera parts, e.g. by remote control devices

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• G08G 1/01 - Detecting movement of traffic to be counted or controlled
• G01S 17/86 - Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• G07B 15/06 - Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
• G08G 1/052 - Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed

Abstract

A system for video-based tracking of objects in one or more regions of interest. The system includes one or more cameras to capture image streams of the one or more regions of interest, the imaging streams including zero or more objects. A plurality of image processors of the system receive the captured image streams from the one or more cameras, and detect the one or more objects or object parts in the captured image streams and generate geometric and tracking data for detected objects. A fusion processor of the system receives the captured image streams and geometric and tracking data for detected objects from the plurality of image processors, and generates fused 3D referenced data using the detection and tracking data detected objects.

IPC Classes  ?

• G06T 7/292 - Multi-camera tracking
• G06T 15/00 - 3D [Three Dimensional] image rendering
• G06V 20/40 - ScenesScene-specific elements in video content
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06T 7/579 - Depth or shape recovery from multiple images from motion
• G08G 1/017 - Detecting movement of traffic to be counted or controlled identifying vehicles

Abstract

A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06K 9/32 - Aligning or centering of the image pick-up or image-field
• G06K 9/44 - Smoothing or thinning of the pattern

Abstract

A system for video-based tracking of objects in one or more regions of interest. The system includes one or more cameras to capture image streams of the one or more regions of interest, the imaging streams including zero or more objects. A plurality of image processors of the system receive the captured image streams from the one or more cameras, and detect the one or more objects or object parts in the captured image streams and generate geometric and tracking data for detected objects. A fusion processor of the system receives the captured image streams and geometric and tracking data for detected objects from the plurality of image processors, and generates fused 3D referenced data using the detection and tracking data detected objects.

IPC Classes  ?

• G01B 11/245 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures using a plurality of fixed, simultaneously operating transducers
• G06K 9/46 - Extraction of features or characteristics of the image
• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G08G 1/017 - Detecting movement of traffic to be counted or controlled identifying vehicles
• G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures

Abstract

Embodiments described herein provide systems and processes for scene-aware object detection. This can involve an object detector that modulates its operations based on image location. The object detector can be a neural network detector or a scanning window detector, for example.

IPC Classes  ?

• G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
• G06V 20/00 - ScenesScene-specific elements
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]

Abstract

Embodiments described herein provide systems and processes for scene-aware
object
detection. This can involve an object detector that modulates its operations
based on image
location. The object detector can be a neural network detector or a scanning
window detector,
for example.

IPC Classes  ?

• G01V 9/00 - Prospecting or detecting by methods not provided for in groups
• G06N 3/02 - Neural networks

Abstract

A system for video-based tracking of objects in one or more regions of interest. The system includes one or more cameras to capture image streams of the one or more regions of interest, the imaging streams including zero or more objects. A plurality of image processors of the system receive the captured image streams from the one or more cameras, and detect the one or more objects or object parts in the captured image streams and generate geometric and tracking data for detected objects. A fusion processor of the system receives the captured image streams and geometric and tracking data for detected objects from the plurality of image processors, and generates fused 3D referenced data using the detection and tracking data detected objects.

IPC Classes  ?

• G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
• G01B 11/245 - Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures using a plurality of fixed, simultaneously operating transducers
• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G08G 1/017 - Detecting movement of traffic to be counted or controlled identifying vehicles

Abstract

A system for video-based tracking of objects in one or more regions of
interest. The system
includes one or more cameras to capture image streams of the one or more
regions of interest,
the imaging streams including zero or more objects. A plurality of image
processors of the system
receive the captured image streams from the one or more cameras, and detect
the one or more
objects or object parts in the captured image streams and generate geometric
and tracking data
for detected objects. A fusion processor of the system receives the captured
image streams and
geometric and tracking data for detected objects from the plurality of image
processors, and
generates fused 3D referenced data using the detection and tracking data
detected objects.

IPC Classes  ?

• G01B 11/14 - Measuring arrangements characterised by the use of optical techniques for measuring distance or clearance between spaced objects or spaced apertures
• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G06T 7/292 - Multi-camera tracking
• G06T 19/00 - Manipulating 3D models or images for computer graphics
• G08G 1/04 - Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
• H04W 4/024 - Guidance services