Abstract: Methods and systems for location tracking or maintaining a count of people in a building or space. An illustrative method may include storing a background image of a field of view of a video camera and receiving a video stream from the video camera. Background subtraction may be performed to identify one or more blobs in the field of view of the video camera. The size of the one or more blobs may be compared to an expected size of the blob at a similar distance from the camera. When the size of the blob is greater than the expected size of a person at the determined distance of the corresponding blob by more than a predetermined threshold the blob may be counted as two or more people.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: A security camera includes an image capture sensor and one or more motors for achieving a pan and/or tilt operation of the image capture sensor. A gyroscope sensor senses angular speed of the image capture sensor. A memory stores calibration data that includes an indication of the angular speed of the image capture sensor sensed by the gyroscope sensor while performing a pan and/or tilt operation of the image capture sensor. A controller is configured to subsequently compare the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor with the calibration data to identify a drift in the angular speed of the image capture sensor while performing a pan and/or tilt operation of the image capture sensor over time. The controller is configured to compensate for the drift during subsequent pan and/or tilt operations.

Abstract: Video analytics may be performed on user-triggered video recording to generate metadata that describes what was found in the user-triggered video recording. A subsequent video stream may be analyzed, thereby generating metadata associated with the subsequent video stream. The metadata associated with the subsequent video stream may be compared with the metadata associated with the user-triggered recording. When the metadata associated with the subsequent video stream matches the metadata associated one or more of the user-triggered video recordings in accordance with one or more matching criteria, an inquiry is outputted to an operator soliciting whether a user-triggered video recording should be initiated for the subsequent video stream. The method includes receiving from the operator a response to the inquiry indicating whether to initiate a user-triggered video recording of the subsequent video stream, and if so, initiating a user-triggered video recording of the subsequent video stream.

Abstract: A video camera includes a camera for capturing a video stream and a controller that is operably coupled to the camera. The controller, which includes processing resources, is configured to determine a current utilization of one or more of the processing resources and to determine which of a plurality of video analytics algorithms should be executed based at least in part on the determined current utilization of the one or more processing resources. The controller is configured to execute two or more of the plurality of video analytics algorithms on the video stream to identify one or more events in the video stream, wherein the controller executes the two or more of the plurality of video analytics algorithms, and sends an alert in response to identifying one or more events in the video stream.

Abstract: A method for detecting an abandoned object in a video stream captured by a video camera includes receiving a plurality of video frames of the video stream. Video analytics are performed on one or more of the plurality of video frames to detect one or more objects and one or more persons in the video stream. An object-person association between one of the detected objects and one of the detected persons is identified, resulting in an object/person pair. With the object-person pair identified, the object of the object/person pair and the person of the object/person pair are each tracked through subsequent video frames. Based on the tracking of the object of the object/person pair and the tracking of the person of the object/person pair, a determination is made as to when the object of the object/person pair becomes abandoned by the person of the object/person pair.

Abstract: A method includes collecting over time security data from each of at least some of a plurality of security system components. A pattern is identified based at least in part on the collected security data, the pattern identifying an expected behavior of one or more occupants of the facility. Live security data is received from at least some of the plurality of security system components, and is compared with the identified pattern to identify when the current behavior of one or more occupants of the facility deviates from the expected behavior by more than a threshold. When the current behavior of one or more occupants of the facility deviates from the expected behavior by more than the threshold, one or more security system settings of the security system are changed and the security system is operated using the one or more changed security system settings.

Abstract: Methods and systems for monitoring occupant health within a building. An illustrative method may include storing one or more illness behavioral models, capturing and storing over time a history of behaviors for each of a plurality of occupants of the building, identifying one or more current behaviors of a particular one of the plurality of occupants, determining whether the current behaviors of the occupant match one or more of the behaviors defined in the one or more illness behavioral models, determining whether the current behaviors of the occupant deviate from behaviors captured and stored in the history of behaviors for the occupant, and issuing an alert directing that the occupant undergo additional health screening when the current behaviors of the occupant match one or more of the behaviors defined in the illness behavioral models or deviate from behaviors captured and stored in the history of behaviors for the occupant.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: Methods and systems for location tracking or maintaining a count of people in a building or space. An illustrative method may include storing a background image of a field of view of a video camera and receiving a video stream from the video camera. Background subtraction may be performed to identify one or more blobs in the field of view of the video camera. The size of the one or more blobs may be compared to an expected size of the blob at a similar distance from the camera. When the size of the blob is greater than the expected size of a person at the determined distance of the corresponding blob by more than a predetermined threshold the blob may be counted as two or more people.

Abstract: Methods and systems for monitoring occupant health within a building. An illustrative method may include storing one or more illness behavioral models, capturing and storing over time a history of behaviors for each of a plurality of occupants of the building, identifying one or more current behaviors of a particular one of the plurality of occupants, determining whether the current behaviors of the occupant match one or more of the behaviors defined in the one or more illness behavioral models, determining whether the current behaviors of the occupant deviate from behaviors captured and stored in the history of behaviors for the occupant, and issuing an alert directing that the occupant undergo additional health screening when the current behaviors of the occupant match one or more of the behaviors defined in the illness behavioral models or deviate from behaviors captured and stored in the history of behaviors for the occupant.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: A surveillance monitoring system may use a camera to detect any viewing faces visible within viewing sight of a monitor and determine whether the detected viewing faces belong to authorized individuals who are authorized to view video surveillance footage on the monitor or if any of the detected viewing faces belong to individuals who are not authorized to view video surveillance footage on the monitor. When the detected viewing faces belong only to authorized individuals, the surveillance monitoring system continues to display the video surveillance footage that includes identifiable faces without anonymizing the identifiable faces. When the detected viewing faces also include unauthorized individuals, the surveillance monitoring system may continue to display the video surveillance footage, but the surveillance monitoring system may automatically anonymize one or more of the identifiable faces seen in the video surveillance footage.

Abstract: A video management system may identify moving objects in a scene, and may obscure the moving object. Additionally, the video management system may identify parts of the scene that are not moving, and may identify pixels having a color falling within a range which may be associated with human skin, and may obscure such pixels. The video management system may present an image to a monitor including the obscured moving object and the obscured pixels having the color falling within the range associated with human skin.

Abstract: A video management system may identify moving objects in a scene, and may obscure the moving object. Additionally, the video management system may identify parts of the scene that are not moving, and may identify pixels having a color falling within a range which may be associated with human skin, and may obscure such pixels. The video management system may present an image to a monitor including the obscured moving object and the obscured pixels having the color falling within the range associated with human skin.

Abstract: An apparatus is provided that includes a user input of a security system receiving a respective identifier for each of a plurality of objects tracked within a secured area having a plurality of geographically separate spaces and a processor of the security system detecting entry of one of the plurality of objects into one of the plurality of geographically separate spaces via an access controller associated with the one of the plurality of geographically spaces, determining a geographic location of the one of the plurality of objects based upon detecting the entry, retrieving a map of the secured area along with a track of the one of the plurality of objects through the secured area, and displaying the geographic location of the one of the plurality of objects on the map through one of a portable handheld device, a monitoring station, and other possible human machine interface devices.

Abstract: An apparatus including a user input of a security system receiving a respective identifier for each of a plurality of objects tracked within a secured area having a plurality of geographically separate spaces managed, a processor of the security system detecting entry of one of the plurality of objects into one of the plurality of spaces via an access controller associated with the space of the multiple access controllers managing the secured area, a processor of the security system determining a geographic location of the object based upon the detected entry, a processor of the security system retrieving a map of the secured area along with a track of the object through the secured area and a processor of the security system displaying the determined location of the object on the map through one of a portable handheld device, a monitoring station and other possible human machine interface devices.