A digital video alarm monitoring computer system. The system includes a computer having non-transitory memory configured to store machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions. The functions include receiving identifying data indicative of digital video data. The functions further include transmitting a digital video alarm status query. The functions also include receiving a digital video alarm monitoring status in response to transmitting the digital video alarm monitoring status query. The digital video alarm monitoring status may include an active status and an inactive status. The functions may further include transmitting or analyzing the digital video data in response to the digital video alarm status being the active status.

A digital video alarm situational monitoring computer system includes an alarm monitoring computer having non-transitory memory configured to store machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions: receiving a first digital video clip associated with a first digital video alarm event and a second digital video associated with a second digital video alarm event; displaying a first icon of the first digital video alarm event and a second icon of the second digital video alarm event on a graphical user interface; and simultaneously playing the first digital video clip and the second digital video clip on the graphical user interface.

Activating security system alarms based on data generated by audio/video (A/V) recording and communication devices in accordance with various embodiments of the present disclosure are provided. In one embodiment, an network device communicatively coupled to a security system in an armed mode is provided, the network device comprising: one or more processors; a communication module; and a non-transitory machine-readable memory storing a program comprising sets of instructions for: receiving sensor data indicative of an entry/exit event at an entry point; determining, based on at least one of motion data and image data generated by an A/V recording and communication device having a field of view, whether a person was present in the field of view of the A/V recording and communication device prior to the entry/exit event; determining whether the person is authorized; and upon determining that the person is not authorized, activating an alarm action of the security system.

A monitoring system for locating and classifying an event in a monitoring area by a computation unit including a visual 3D capturing unit providing geometric 3D information and an acoustic capturing unit providing an acoustic information of the monitoring area. An event detector is configured with an acoustic channel and a visual channel to detect the event. The acoustic channel is configured to detect the event as a sound event in the acoustic information and to determine a localization of the sound. The visual channel is configured to detect the event as a visual event in the geometric 3D information and to derive a localization of the visual event. The event detector provides detected events with a region of interest for detected event, which is analyzed in order to assign the detected event a class within a plurality of event classes.

Provided is a technique for enhancing operability of a mobile apparatus. An information processing apparatus (2000) includes a first processing unit (2020), a second processing unit (2040), and a control unit (2060). The first processing unit (2020) generates information indicating an event detection position in accordance with a position on a surveillance image set in a first operation. The first operation is an operation with respect to the surveillance image displayed on a display screen. The second processing unit (2040) performs a display change process with respect to the surveillance image or a window including the surveillance image. The control unit (2060) causes any one of the first processing unit (2020) and the second processing unit (2040) to process the first operation on the basis of a second operation.

A method and system provides centralized redundant monitoring suitable for effectively recording and tracking video monitoring systems at a plurality of remote surveillance locations. The method and system are configured to track, monitor, capture, and record video originating from transportation vehicles using a novel technological configuration that minimizes overall and sub-system downtime relative to conventional technologies. The remote surveillance locations are capable of utilizing self-healing and recovery mechanisms and reporting status information to the centralized monitoring system. The centralized monitoring system can use information received from the remote surveillance locations to remotely monitor the status of the remote surveillance systems, to initiate remotely self-healing and recovery mechanisms, and request previously recorded surveillance data and live surveillance data in real time.

The techniques described herein relate to computerized methods, systems and non-transitory computer-readable media for determining a plurality of regions of interest from an image of a scene for motion detection. The methods can include generating the regions of interest using image segmentation techniques and receiving user selection to designate one or more regions as motion detection zones. The methods can also automatically recommend motion detection zones. The methods can include subsequently capturing one or more images of a scene and performing motion detection in the one or more images of the scene using the designated motion detection zones.

An imaging device capable of detecting differences with low power consumption is provided. The imaging device includes a pixel including a photoelectric conversion element and a transistor; an analog processing circuit; and a digital processing circuit. The imaging device is operated in a first mode and a second mode. In the first mode, the analog processing circuit detects a difference between first imaging data taken by the pixel and second imaging data taken by the pixel and generates a trigger signal on the basis of the value of the difference. In the second mode, the digital processing circuit converts third imaging data taken by the pixel into digital data. Switching from the first mode to the second mode is performed on the basis of the trigger signal.

A digital video alarm monitoring computer system. The system includes a computer having non-transitory memory configured to store machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions. The functions include receiving identifying data indicative of digital video data. The functions further include transmitting a digital video alarm status query. The functions also include receiving a digital video alarm monitoring status in response to transmitting the digital video alarm monitoring status query. The digital video alarm monitoring status may include an active status and an inactive status. The functions may further include transmitting or analyzing the digital video data in response to the digital video alarm status being the active status.

Methods, systems, and apparatus for camera detection of human activity with co-occurrence are disclosed. A method includes detecting a person in an image captured by a camera; in response to detecting the person in the image, determining optical flow in portions of a first set of images; determining that particular portions of the first set of images satisfy optical flow criteria; in response to determining that the particular portions of the first set of images satisfy optical flow criteria, classifying the particular portions of the first set of images as indicative of human activity; receiving a second set of images captured by the camera after the first set of images; and determining that the second set of images likely shows human activity based on analyzing portions of the second set of images that correspond to the particular portions of the first set of images classified as indicative of human activity.