Michael T. Glier - Jamestown RI Mark D. Laird - Milford MA Michael T. Tinnemeier - Providence RI Steven I. Small - Medfield MA Randall T. Sybel - Randolph VT
Assignee:
Nestor, Inc. - Providence RI
International Classification:
H04N 718
US Classification:
348149, 340933, 340937, 701117
Abstract:
A traffic light violation prediction and recording system, including at least one violation prediction video camera and a violation prediction unit. The violation prediction unit generates violation probability scores for vehicles approaching a traffic intersection based on attributes of those vehicles, such as position, current speed and acceleration. The violation probability scores are passed to a violation recording unit, which allocates violation recording resources, such as a violation video camera, to capture activities of one or more vehicles associated with relatively high violation probabilities. The violation recording unit determines a violation recording resource allocation schedule. If sufficient resources cannot be allocated to record all possible violations within a given time period, the violation recording unit may ignore a potential violation having a relatively low priority. In one embodiment, the violation recording resources include a number of video cameras, as well as one or more violation recorders capable of producing digital data files for storing video recordings of the violation as it occurred.
Non-Violation Event Filtering For A Traffic Light Violation Detection System
Mark D. Laird - Milford MA Steven I. Small - Medfield MA Michael T. Tinnemeier - Providence RI
Assignee:
Nestor, Inc. - Providence RI
International Classification:
G06G 748
US Classification:
703 8, 348149, 701119
Abstract:
A system and method for detecting and filtering non-violation events in a traffic light violation prediction and recording system, including at least one violation prediction image capturing device, such as a video camera, and a violation prediction unit. The prediction unit generates a prediction reflecting a probability that the vehicle will violate a red light phase of the traffic signal. A non-violation event filter determines whether the vehicle approaching the traffic signal is actually performing a non-violation action. Non-violation events may include a variety of actions performed by the vehicle, and are fully configurable to meet the needs and policies of various specific intersections and jurisdictions. When the non-violation event filter determines that the vehicle is performing a non-violation action, resources that may have been allocated to recording the non-violating vehicle may be released, and a determination may be made that additional resources need not be allocated to such recording.
Video-File Based Citation Generation System For Traffic Light Violations
Steven I. Small - Medfield MA Randall T. Sybel - Randolph VT Greg D. Johnson - Bellingham MA Lalitha R. Coimbatore - Attleboro MA
Assignee:
Nestor, Inc. - Providence RI
International Classification:
G06F 700
US Classification:
707102, 7071041
Abstract:
A system for generating a traffic violation citation, which operates using at least one image data file including digitized video data. The image data file includes multiple images of an intersection during a red light violation. The image data file is, for example, derived from the output of one or more video cameras positioned to record respective views of an intersection being monitored for red light violations. The disclosed system provides a user with an interface including at least one image display window. The image display window is used to display portions of the image data file. Where the image data file includes multiple video clips, such clips may be displayed simultaneously in respective ones of multiple display windows. The system further includes a selection interface that permits a user to select at least one image from the image data file, for example a current image being displayed in an image display window. The system generates a citation associated with the traffic violation, including a copy of the selected image.
Michael T. Glier - Jamestown RI Douglas L. Reilly - Naragansett RI Michael T. Tinnemeier - Providence RI Steven I. Small - Medfield MA Steven S. Hsieh - Canton MA Randall T. Sybel - Randolph VT Mark D. Laird - Milford MA
A traffic sensor system for detecting and tracking vehicles is describede. A video camera is employed to obtain a video image of a section of a roadway. Motion is detected through changes in luminance and edges in frames of the video image. Predetermined sets of pixels (âtilesâ) in the frames are designated to be in either an âactiveâ state or an âinactiveâ state. A tile becomes active when the luminance or edge values of the pixels of the tile differ from the respective luminance or edge values of a corresponding tile in a reference frame in accordance with predetermined criteria. The tile becomes inactive when the luminance or edge values of the pixels of the tile do not differ from the corresponding reference frame tile in accordance with the is predetermined criteria. Shape and motion of groups of active tiles (âquantaâ) are analyzed with software and a neural network to detect and track vehicles.
Traffic Violation Detection At An Intersection Employing A Virtual Violation Line
Mark D. Laird - Milford MA, US Steven I. Small - Medfield MA, US Michael T. Tinnemeier - Providence RI, US
Assignee:
Nestor, Inc. - East Providence RI
International Classification:
G06F009/455
US Classification:
703 8
Abstract:
A system and method for detecting and filtering non-violation events in a traffic light violation prediction and recording system, including at least one violation prediction image capturing device, such as a video camera, and a violation prediction unit. The prediction unit generates a prediction reflecting a probability that the vehicle will violate a red light phase of the traffic signal. A non-violation event filter determines whether the vehicle approaching the traffic signal is actually performing a non-violation action. Non-violation events may include a variety of actions performed by the vehicle, and are fully configurable to meet the needs and policies of various specific intersections and jurisdictions. When the non-violation event filter determines that the vehicle is performing a non-violation action, it causes some number of resources that may have been allocated to recording the non-violating vehicle, and/or prevents further resources from being allocated to such recording.
William John van Ryper - Menomonie WI, US Tyler Cote - Chelmsford MA, US Steven I. Small - Medfield MA, US Amy P. Sheng - Somerville MA, US Ivan Hee Yiu Ma - San Mateo CA, US Ronald Jones - Newtown NH, US
An apparatus and method of automated blood cell analysis uses technologies from other systems to create a new, robust, improved type of automated microscope, which uses electronic motors and a closed loop control system to minimize ambient factors, such as jarring and temperature changes. Pre-stained blood smear slides are first coated with a thin film of oil and are loaded into a carousel from which they can individually be analyzed. The slides are moved under a low magnification microscope; an optimal area of examination is determined; a focal plane map is calculated for that area, and the positions of white blood cell candidates are computed. The slide is then moved under a high power microscope where a refined focal plane map is computed and the individual white blood cell candidates are imaged. The cells are preclassified and the images are made available for analysis by the technician. Additionally, samples of red blood cells, equivalent to what the technician would do manually, are imaged and presented to the technician for evaluation.
Method And Apparatus For Traffic Light Violation Prediction And Control
Michael Glier - Jamestown RI, US Douglas Reilly - Narragansett RI, US Michael Tinnemeier - Providence RI, US Steven Small - Medfield MA, US Steven Hsieh - Canton MA, US Randall Sybel - Randolph VT, US Mark Laird - Milford MA, US
Assignee:
Nestor Traffic Systems, Inc.
International Classification:
H04N007/18
US Classification:
348/149000
Abstract:
A traffic sensor system for detecting and tracking vehicles is described. The disclosed system may be employed as a traffic light violation prediction system for a traffic signal, and as a collision avoidance system. A video camera is employed to obtain a video image of a section of a roadway. Motion is detected through changes in luminance and edges in frames of the video image. Predetermined sets of pixels (“tiles”) in the frames are designated to be in either an “active” state or an “inactive” state. A tile becomes active when the luminance or edge values of the pixels of the tile differ from the respective luminance or edge values of a corresponding tile in a reference frame in accordance with predetermined criteria. The tile becomes inactive when the luminance or edge values of the pixels of the tile do not differ from the corresponding reference frame tile in accordance with the predetermined criteria. Shape and motion of groups of active tiles (“quanta”) are analyzed with software and a neural network to detect and track vehicles.
Joseph L. Ardini - Needham MA Steven Small - Waltham MA
Assignee:
Prime Computer, Inc. - Natick MA
International Classification:
G06F 1200
US Classification:
364200
Abstract:
The invention comprises a write buffer system which provides residence time information that increases the merge potential and enhances the write collapse feature of a "smart" buffer. The write buffer has multiple buffer locations for storing data received from a central processor, a data merger for merging data designated by the central processor for subsequent storage in contiguous memory locations, and a write controller for selectively writing the data from the plurality of write buffer locations to the memory. The system further includes time stamp registers in communication with the write controller for storing and updating a time signal representative of the write buffer location having most recently received data. The controller is responsive in part to the time signal, and inhibits the writing to memory of the data in the write buffer location having most recently received data since this is the location most likely to be eligible for a data merge. This feature decreases the number of interruptions to the CPU for data transfer operations.
Mount Kisco Medical GroupCare Mount Medical 1978 Crompond Rd STE 201, Cortlandt Manor, NY 10567 (914)7392121 (phone), (914)7392185 (fax)
Mount Kisco Medical GroupCaremount Medical Orthopedics 3680 Hl Blvd, Jefferson Valley, NY 10535 (914)7392121 (phone), (914)2450356 (fax)
Mount Kisco Medical Group 60 Merritt Blvd FL 1, Fishkill, NY 12524 (845)2231082 (phone), (845)7654988 (fax)
Education:
Medical School New York Medical College Graduated: 1979
Procedures:
Carpal Tunnel Decompression Hallux Valgus Repair Hip Replacement Hip/Femur Fractures and Dislocations Knee Arthroscopy Shoulder Arthroscopy Shoulder Surgery Arthrocentesis Knee Replacement Lower Arm/Elbow/Wrist Fractures and Dislocations Lower Leg/Ankle Fractures and Dislocations Wound Care
Conditions:
Internal Derangement of Knee Cartilage Lateral Epicondylitis Rheumatoid Arthritis Spinal Stenosis Fractures, Dislocations, Derangement, and Sprains
Languages:
English Spanish
Description:
Dr. Small graduated from the New York Medical College in 1979. He works in Cortlandt Manor, NY and 2 other locations and specializes in Orthopaedic Surgery and Orthopedic Sports Medicine. Dr. Small is affiliated with New York Presbyterian Hudson Valley Hospital Center and Northern Westchester Hospital.
Scotland County R-1 High School Memphis MO 1977-1981
Community:
Phyl Hinds, Lesa Swearingen, Kevin Patterson, Annette Howard, Donna Curry, Michele Philips, Ann Derosear, Jan Palmer, Johnny Thrasher, Lori Orf, Teresa Parrish, Linda Vangorkom
North Andover Middle School North Andover MA 1997-2000
Community:
Michael Donovan, Demetra Dedoglou, Cristina Tardy, Taylor Goetchius, Ashley Jensen, Jean Carlson, Ben Norman, Jennifer Ponciano, Jasmin Abraham, Elizabeth Simmons, John Matthews