Xerox Corporation

Conduent Business Services, LLC

Graham Stephen Pennington

Yao Rong Wang

Wencheng Wu

Robert P Loce

Lalit Keshav Mestha

Beilei Xu

Edgar A Bernal

Orhan Bulan

Zhigang Fan

Hao Wu

Howard A Mizes

Hengzhou Ding

David Preston Cummins

George Cunha Cardoso

Rakesh Suresh Kulkarni

Raja Bala

Dennis Lee Venable

Charles Donahue Rizzolo

Yeqing Zhang

Thomas F Wade

Survi Kyal

Norman W Zeck

Daniel S Hann

Ethan Shen

Matthew Darst

Himanshu Jayantkumar Madhu

Lee Anne Williams

Eribaweimon Shilla

A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier&#x2014;previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space&#x2014;and determine the occupancy of the current parking area using an output of the classifier.

Vision-based on-street parked vehicle detection via normalized-view classifiers and temporal filtering

What is disclosed is a system and method for identifying a patient's breathing pattern for respiratory function assessment without contact and with a depth-capable imaging system. In one embodiment, a time-varying sequence of depth maps are received of a target region of a subject of interest over a period of inspiration and expiration. Once received, the depth maps are processed to obtain a breathing signal for the subject. The subject's breathing signal comprises a temporal sequence of instantaneous volumes. One or more segments of the subject's breathing signal are then compared against one or more reference breathing signals each associated with a known pattern of breathing. As a result of the comparison, a breathing pattern for the subject is identified. The identified breathing pattern is then used to assess the subject's respiratory function. The teachings hereof find their uses in an array of diverse medical applications. Various embodiments are disclosed.

Breathing pattern identification for respiratory function assessment

This disclosure provides a retail environment robotic system including a vertically oriented/scanning LIDAR (Light Detection and Ranging) unit mounted to a mobile base which travels along the aisles of a retail environment such as a store. According to an exemplary embodiment, the LIDAR unit vertically scans product display units along the aisles to generate a depth map associated with detected objects which is further processed to detect missing products, product/shelving tags, shelves, etc.

Store shelf imaging system and method using a vertical LIDAR

A method, system, and apparatus for parking occupancy detection comprises collecting video of a blockface with at least one video recording module, identifying a number of possible parking spaces along the blockface in the collected video, defining, a region of interest for each of the possible parking spaces, detecting a time dependent occupancy of the defined regions of interest for each of the possible parking spaces, and reporting the time dependent occupancy. Drift correction of the recorded video and ground truth comparisons of occupancy determinations may be provided.

Mobile on-street parking occupancy detection

A method, system, and apparatus for video frame alignment comprises collecting video data comprising at least two video frames; extracting a line profile along at least one line profile in each of the at least two video frames; selecting one of the at least two video frames as a reference video frame; segmenting each of the at least one line profiles into a plurality of segmented line profile group segments; aligning the plurality of segmented line profiles with the segmented line profiles in the reference video frame; translating each of the at least two video frames for each of the plurality of corresponding segmented line profile alignments; and removing a camera shift from the at least two video frames according to the translation and alignment of the plurality of segmented line profiles with the plurality of segmented line profile in the reference video frame.

Methods and systems for camera drift correction

A method for idling vehicle detection comprises shining a light source on an exterior surface of a vehicle with an illumination module, collecting light reflected from the exterior surface of the vehicle with a capture module, and processing the collected light reflected from the exterior surface of the vehicle surface with a processing module wherein the processing model determines if the vehicle's engine is running or if the vehicle's engine is not running.

Automated running-engine detection in stationary motor vehicles

What is disclosed is a system and method for compensating for motion during processing of a video of a subject being monitored for physiological function assessment. In one embodiment, image frames are received. Successive batches of N video frames are processed to isolate pixels associated with a body region of the subject where a physiological signal is registered by the camera. The pixels are processed to obtain a time-series signal for each batch. A determination is made whether movement during video acquisition of this batch of image frames exceeds a threshold level. If so then a size N of the next batch of image frames is changed to: N=N+M, where N+M&#x2266;N. Otherwise, a size N of a next batch is changed to: N=N&#x2212;M, where N&#x2212;M&#x2267;N. Thereafter, processing repeats in a real-time continuous manner as the next batch of the N image frames is received. Various embodiments are disclosed.

Compensating for motion during real-time batch processing of video for physiological function assessment

A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.

Method for object size calibration to aid vehicle detection for video-based on-street parking technology

A system and method of video-based chew counting by receiving image frames from a video camera, determining feature points within the image frames from the video camera, generating a motion signal based on movement of the feature points across the image frames from the video camera, and determining a chew count based on the motion signal.

Methods and systems for video-based chew counting via feature tracking

Parking occupancy detection methods, systems and processor-readable media. A laser device unit includes a laser range finder, and a programmable pan-tilt unit is deployable on site to monitor one or more parking spaces. A laser emitting and receiving unit associated with the laser range finder determines the distance of an object by estimating a time difference between an emitted laser and a received laser. The laser range finder is controllable by the programmable pan-tilt unit and scans the parking spaces. A signal-processing unit can convert the measured distance profile to a parking occupancy data to provide continuous parking space estimation data for use in parking occupancy detection.

Methods, systems and processor-readable media for parking occupancy detection utilizing laser scanning

An automated method and system for detecting the presence of a smoking product utilizing a near infrared video-processing unit in real time. One or more near infrared (NIR) video capturing units can be configured to capture a video feed. The video feed can be processed by the video-processing unit in order to detect a smoking product (e.g., a lit cigarette) within a field of view of the video capturing unit. A near infrared video sequence can be read and analyzed for the presence of a 'hot spot' of a predetermined size based on pixel color information. In some cases, the motion of the hot spot can be tracked in response to the detection of the hot spot. An alarm signal can also be triggered in some cases, if the pattern of motion is consistent with that of a cigarette being smoked.

Automated method and system for detecting the presence of a lit cigarette

Hybrid methods, systems and processor-readable media for video and vision based access control for parking occupancy determination. One or more image frames of a parking area of interest can be acquired from among two or more regions of interest defined with respect to the parking area of interest. The regions of interest can be analyzed for motion detection or image content change detection. An image content classification operation can be performed with respect to a first region of interest among the regions of interest based on the result of the image content change detection. An object tracking operation can then be performed with respect to a second region of interest among the regions of interest if the result of the image content classification operation indicates a presence of one or more objects of interest within the parking area of interest.

Hybrid method and system of video and vision based access control for parking stall occupancy determination

What is disclosed is a system and method for selecting the optimal wavelength ban combination for a multi-band infrared camera system which is optimized for skin detection. An objective function is constructed specifically for this application from classified performance and the algorithm generates wavelengths by maximizing the objective function. A specific wavelength band combination is selected which maximizes the objective function. Also disclosed is a 3-band and 4-band camera system with filters each having a transmittance of one of a combination of wavelength bands optimized to detect skin in the infrared band. The camera systems disclosed herein find their intended uses in a wide array of vehicle occupancy detection systems and applications. Various embodiments are disclosed.

Multi-band infrared camera system optimized for skin detection

An embodiment generally relates to systems and methods for determining cell phone usage automatically by individuals operating vehicles. A processing module can process multi-spectral images or videos of individuals and detect different regions in the image such as face regions, hand regions, and cell phone regions. Further, the processing module can analyze the regions based on locations and numbers of skin pixels and cell phone pixels to determine if the individual is holding his or her cell phone near his or her face. Based on the analysis, it can be determined whether the individual is operating the cell phone. Further, the analysis can yield a confidence level associated with the cell phone usage.

Systems and methods for detecting cell phone usage by a vehicle operator

A method and structure for estimating parking occupancy within an area of interest can include the use of at least two image capture devices and a processor (e.g., a computer) which form at least part of a network. A method for estimating the parking occupancy within the area of interest can include the use of vehicle entry and exit data from the area of interest, as well as an estimated transit time for vehicles transiting through the area of interest without parking.

Growing community of inventors

Webster, NY, United States of America

Graham Stephen Pennington