Gordon T. Haupt - San Francisco CA, US J. Andrew Freeman - San Jose CA, US Stephen D. Fleischer - San Francisco CA, US Robert P. Vallone - Palo Alto CA, US Stephen G. Russell - San Francisco CA, US Timothy B. Frederick - San Francisco CA, US
Assignee:
3VR Security, Inc. - San Francisco CA
International Classification:
G06K 9/00 G06K 9/62 G06K 9/54 H04N 7/18
US Classification:
382115, 382224, 382305, 348159, 348161
Abstract:
A technique is disclosed for determining a group in which to add a new image set. The new image set is captured by one or more cameras in a video surveillance system. Similarity scores are generated between the new image set and one or more image sets of a plurality of groups, wherein each group includes one or more image sets of at least one object. The new image set is added to a group based on one or more factors. Also, a technique is disclosed for determining when to close a group, wherein a closed group is one to which an image set may not be added.
Gordon T. Haupt - San Francisco CA, US J. Andrew Freeman - San Jose CA, US Stephen D. Fleischer - San Francisco CA, US Robert P. Vallone - Palo Alto CA, US Stephen G. Russell - San Francisco CA, US Timothy B. Frederick - San Francisco CA, US
Assignee:
3VR Security, Inc. - San Francisco CA
International Classification:
G06K 9/62 G06K 9/00
US Classification:
382224, 382103, 382115, 382305, 348159
Abstract:
A technique is disclosed for determining when to close a group of a plurality of groups. A closed group is one to which an image set may not be added. Each group includes one or more image sets. Each image set includes one or more images of at least one object. Each group corresponds to an object that is common among images in the one or more image sets that belong to the group. Determining when to close a particular group is based, at least in part, on one or more factors, such as how many image sets are in the particular group, the length of time the particular group has been open, and data about the one or more image sets in the particular group.
Automated Searching For Probable Matches In A Video Surveillance System
Gordon T. Haupt - San Francisco CA, US Stephen D. Fleischer - San Francisco CA, US Robert P. Vallone - Palo Alto CA, US Stephen G. Russell - San Francisco CA, US Timothy B. Frederick - San Francisco CA, US
Assignee:
3VR Security, Inc. - San Francisco CA
International Classification:
H04N 5/76 G06K 9/00
US Classification:
3482312, 382118
Abstract:
A technique for searching for probable matches in a video surveillance system is disclosed. A new event, such as a face captured in an image set, is matched against other events in a database of events. A similarity score is generated based on the difference between the new event and other events in the database. The similarity score may be weighted by information external to the image sets. Because of limited system resources, an association between a new event and every other event in the system may not be kept. Thus, when searching for probable matches of a particular event, some events that are related to the particular event may not be initially selected. Such events may be associated with an event in a first set of events that are associated with the particular event. Therefore, a second set of events is selected that are associated with the first set of events.
Interactive System For Recognition Analysis Of Multiple Streams Of Video
Gordon Haupt - San Francisco CA, US J. Freeman - San Jose CA, US Stephen Fleischer - San Francisco CA, US Robert Vallone - Palo Alto CA, US Stephen Russell - San Francisco CA, US Timothy Frederick - San Francisco CA, US
International Classification:
G06K009/00
US Classification:
382118000
Abstract:
A method of identifying an object captured in a video image in a multi-camera video surveillance system is disclosed. Sets of identifying information are stored in profiles, each profile being associated with one object. The disclosed method of identifying an object includes comparing identifying information extracted from images captured by the video surveillance system to one or more stored profiles. A confidence score is calculated for each comparison and used to determine a best match between the extracted set of identifying information and an object. In one embodiment, the method is used as part of a facial recognition system incorporated into a video surveillance system.
Storage Of Video Analysis Data For Real-Time Alerting And Forensic Analysis
Robert Vallone - Palo Alto CA, US Stephen Fleischer - San Francisco CA, US Colvin Pitts - Mountain View CA, US Gordon Haupt - San Francisco CA, US Timothy Frederick - San Francisco CA, US Thomas Faulhaber - San Francisco CA, US Marcus Marinelli - Palo Alto CA, US
International Classification:
G06K 9/00 H04N 5/14
US Classification:
382115000, 348701000
Abstract:
A method and apparatus for storing video data is provided. Video data, that comprises a series of frames, is received. Information about changes that are detected in the series of frames is generated. The information is aggregated to generate a plurality of video data change records. Each video data change record corresponds to a plurality of frames and includes change information that indicates changes that were detected relative to the corresponding plurality of frames. Events of interest that satisfy specified search criteria are searched for by comparing the specified search criteria against change information in one or more of the plurality of video data change records.
Interactive System For Recognition Analysis Of Multiple Streams Of Video
Gordon T. Haupt - San Francisco CA, US J. Andrew Freeman - San Jose CA, US Stephen D. Fleischer - San Francisco CA, US Robert P. Vallone - Palo Alto CA, US Stephen G. Russell - San Francisco CA, US Timothy B. Frederick - San Francisco CA, US
International Classification:
G06K 9/00 G06K 9/62
US Classification:
382118, 382209
Abstract:
A method of identifying an object captured in a video image in a multi-camera video surveillance system is disclosed. Sets of identifying information are stored in profiles, each profile being associated with one object. The disclosed method of identifying an object includes comparing identifying information extracted from images captured by the video surveillance system to one or more stored profiles. A confidence score is calculated for each comparison and used to determine a best match between the extracted set of identifying information and an object. In one embodiment, the method is used as part of a facial recognition system incorporated into a video surveillance system.
Manually-Assisted Void-Fill Dunnage Dispensing System And Method
Daniel L. Carlson - Ravenna OH, US Timothy A. Frederick - Eastlake OH, US
Assignee:
RANPAK CORP. - Concord Township OH
International Classification:
B65B 61/20 B65B 61/22 B65B 57/00
US Classification:
53474, 531395, 53 64
Abstract:
A packaging system includes a controller , an input device in communication with the controller that identifies one or more characteristics of the container, and a manual input device in communication with the controller that provides multiple input options for selection by a packer. The input options represent relative degrees to which a container is filled by one or more objects to be packaged. The controller provides an output signal indicating a quantity of dunnage to dispense to the container based on the selected input option and the one or more identified characteristics of the container. Once the controller receives the container characteristics information, as well as the selected input option representing the relative degree to which the container is filled by the objects to be packaged, the controller can determine the number and lengths of dunnage strips that need to be provided to fill the remaining void in the container. Once the controller has determined the amount dunnage that needs to be dispensed, the controller can signal a dunnage dispenser to dispense the determined amount of dunnage.
Manually-Assisted Void-Fill Dunnage Dispensing System And Method
Daniel L. Carlson - Ravenna OH, US Timothy A. Frederick - Eastlake OH, US Joseph J. Harding - Mentor OH, US Kevin W. Park - Chardon OH, US
Assignee:
Ranpak Corp. - Concord Township OH
International Classification:
B65B 55/20
US Classification:
53472, 53115
Abstract:
A packaging system () includes a controller (), an input device () in communication with the controller () that identifies one or more characteristics of the container, an illustration with indicia representing different degrees of fill for a container; and a manual input device () in communication with the controller () for inputting an estimated degree of fullness of the packing container having one or more articles to be packed correlated with the indicia in the illustration. The controller () provides an output signal indicating a quantity of dunnage to dispense to the container based on the input estimated degree of fullness and the one or more identified characteristics of the container. Then the controller can determine the amount of dunnage that needs to be provided to fill the remaining void in the container, and the controller can signal a dunnage dispenser () to dispense the determined amount of dunnage.
I'm a musician, producer, writer, composer, and would-be filmmaker. People make me uncomfortable. I have many unpopular opinions. Founder of Polypath Productions. The official launch will be very...
Tagline:
Modern day polypath.
Timothy Frederick
Timothy Frederick
Timothy Frederick
Timothy Frederick
Timothy Frederick
Timothy Frederick
Youtube
Timothy Reddick - "You're Alpha and Omega"
timothyreddick#y... Thank you for watching Christ Republic videos.Sta...
Duration:
8m 22s
Timothy Frederick - appearance
Name Look - Timothy Frederick - appearance. In this video we present "...
Duration:
2m 2s
Boys u18 200m Falcon Games 2017 (Timothy Fred...
Duration:
1m
timothy frederick art prize 1
Duration:
41s
Xander Timothy Frederick Pt. I
A beautiful letter written to Steve and I when we asked Tim to help us...
Duration:
4m 21s
How Dance Gavin Dance and his mother are pick...
How Dance Gavin Dance and his mother are picking up after Tim Feerick'...