Abstract: According to an aspect there is provided systems and methods for anonymizing images and/or detecting countability scores. Anonymization can be carried out by extracting anonymized images from image processing techniques, anonymizing the image before image processing, or detecting regions of interest and anonymizing regions of interest. Countability scores can be detected based on the inexistence of people in the image. Countability scores can impact the confidence of the count of an image. Count confidence may be used to automatically enforce, for example, tolls.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Abstract: Methods, systems, and computer program products for hardware device selection in a computing environment are provided. Aspects include receiving, by a processor, a request to execute a programming code, wherein the processor is operating in a hybrid computing environment comprising a plurality of hardware devices. A performance model associated with the programming code is obtained by the processor. Runtime data associated with the programming code is obtained by the processor. The runtime data is fed in to the performance model to determine an execution cost for executing the programming code on each of the plurality of hardware devices and a target hardware device is selected from the plurality of hardware devices based on the execution costs.

Abstract: A method, computer system, and computer program product for estimation of post-inlining transformation benefits are provided. The embodiment may include performing abstract interpretation on a program to find potential post-inlining transformations. The embodiment may also include encoding potential post-inlining transformations into a profitability metric by associating constraints under which a profit is determined to be realized. The embodiment may further include scaling the profitability metric using the relative execution frequency of the program point to which the transformation applies to favor applying transformations in the most frequently executed code paths. The embodiment may also include generating method summaries to store the potential post-inlining transformations in the method summaries. The embodiment may further include creating a method summary map to match each method with each method summary.

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.

Abstract: A method, computer system, and computer program product for estimation of post-inlining transformation benefits are provided. The embodiment may include performing abstract interpretation on a program to find potential post-inlining transformations. The embodiment may also include encoding potential post-inlining transformations into a profitability metric by associating constraints under which a profit is determined to be realized. The embodiment may further include scaling the profitability metric using the relative execution frequency of the program point to which the transformation applies to favor applying transformations in the most frequently executed code paths. The embodiment may also include generating method summaries to store the potential post-inlining transformations in the method summaries. The embodiment may further include creating a method summary map to match each method with each method summary.

Abstract: A manifold assembly configured for integration with a joint cover apparatus in a ducting system to detect leaking gas comprises an elastomeric manifold block having a substantially circular inlet aperture and one or more gas passages fluidly coupled to the inlet aperture. The assembly includes a flow control valve configured to maintain a closed state in which a component of the flow control valve sealingly engages with the inlet aperture to preclude gas at the inlet aperture from flowing into the one or more gas passages until said gas reaches a pressure corresponding to a pressure threshold. The assembly also includes at least one aperture control plate disposed substantially proximate to a lower end of the manifold block and including a substantially circular opening. The aperture control plate is adapted to maintain the substantial circularity of the inlet aperture, so as to ensure a substantially fluid-tight seal.

Abstract: Methods, systems, and computer program products for hardware device selection in a computing environment are provided. Aspects include receiving, by a processor, a request to execute a programming code, wherein the processor is operating in a hybrid computing environment comprising a plurality of hardware devices. A performance model associated with the programming code is obtained by the processor. Runtime data associated with the programming code is obtained by the processor. The runtime data is fed in to the performance model to determine an execution cost for executing the programming code on each of the plurality of hardware devices and a target hardware device is selected from the plurality of hardware devices based on the execution costs.

Abstract: A manifold assembly configured for integration with a joint cover apparatus in a ducting system to detect leaking gas comprises an elastomeric manifold block having a substantially circular inlet aperture and one or more gas passages fluidly coupled to the inlet aperture. The assembly includes a flow control valve configured to maintain a closed state in which a component of the flow control valve sealingly engages with the inlet aperture to preclude gas at the inlet aperture from flowing into the one or more gas passages until said gas reaches a pressure corresponding to a pressure threshold. The assembly also includes at least one aperture control plate disposed substantially proximate to a lower end of the manifold block and including a substantially circular opening. The aperture control plate is adapted to maintain the substantial circularity of the inlet aperture, so as to ensure a substantially fluid-tight seal.