An image processing apparatus includes a first acquisition unit configured to acquire a first image that is obtained by synthesizing a plurality of images captured by a plurality of first image capturing units that respectively capture a monitoring region, a second acquisition unit configured to acquire a second image that is obtained by a plurality of images captured by a second image capturing unit that captures the monitoring region by turning the second image capturing unit in a tilt direction and in a pan direction, and an output unit configured to output information indicating a region that cannot be captured by the plurality of first acquisition units, based on the first image and the second image.

Provided is a monitoring system and a method of controlling a panning-tilt zoom (PTZ) camera by using a fisheye camera when the fisheye camera and the PTZ camera are adjacently installed. The method includes selecting a region of interest (ROI) in an entire surveillance-target area image captured by the fisheye camera and adjusting a panning angle P and a tilting angle T of the PTZ camera to acquire an accurate image of the selected ROI.

The present invention provides an imaging system which allows an imaging direction to be changed to a position intended by the user. An imaging system according to the present invention includes an image acquiring unit adapted to acquire an image captured by the first imaging apparatus; a position determining unit adapted to determine one of a plurality of pieces of position information in an object space of the image as an imaging position in priority order; and a controlling unit adapted to change a viewing point of a second imaging apparatus based on the imaging position.

The image management device (13) monitors a face of a first person whose image is included in a first image area of a first image acquired from the first imaging device (11) and a posture of the second person whose image is included in a second image area of the first image. The image management device (13) monitors a face of a second person whose image is included in a first image area of a second image acquired from the second imaging device (12) and a posture of the first person whose image is included in a second image area of the second image. The image management device (13) determines a state of the first person based on the face or the posture of the first person, determines the state of the second person based on the face or the posture of the second person, and outputs the determination result.

Techniques are described for an autonomous asset management system that integrates autonomous devices, such as drone devices and other robotic devices, with a home security system of a property to enable management, monitoring, and/or tracking of various assets located within the property. In some implementations, an indication of an asset associated with a property is obtained by an autonomous device. Sensor data collected by one or more sensors of the property is obtained by the autonomous device based on the indication of the asset. A present status of the asset is determined by the autonomous device based on the sensor data. A determination that the present status of the asset does not correspond to an expected status of the asset is made by the autonomous device. In response, the autonomous device navigates to the particular location of the property.

An image processing apparatus includes a display configured to display at least one screen; a communication interface configured to receive camera information from at least one camera; a processor configured to extract position information, time information, and image information corresponding to one another from the camera information and generate a first screen displaying the position information, a second screen displaying the time information, and a third screen for displaying the image information; and a user interface configured to receive a user input for selecting first position information from the position information or first time information from the time information, wherein the processor is further configured to extract first image information corresponding to the first position information or the first time information from the image information and reproduce the first image information through the third screen.

Methods, systems, and apparatus, including computer programs encoded on storage devices, for monitoring, security, and surveillance of a property. In one aspect, a system includes a virtual reality headset, a plurality of cameras, a plurality of sensors that includes a first sensor, a control unit, wherein the control unit includes a network interface, a processor, a storage device that includes instructions to perform operations that comprise receiving data from the first sensor that is indicative of an alarm event, determining a location of the first sensor, identifying a set of one or more cameras from the plurality of cameras that are associated with the first sensor, selecting a particular camera from the identified set of one or more cameras; and transmitting one or more instructions to the particular camera that command the particular camera to stream a live video feed to a user interface of the virtual reality headset.

Systems and methods are described herein that provide a three-tier intelligent video surveillance management system. An example of a system described herein includes a gateway configured to obtain video content and metadata relating to the video content from a plurality of network devices, a metadata processing module communicatively coupled to the gateway and configured to filter the metadata according to one or more criteria to obtain a filtered set of metadata, a video processing module communicatively coupled to the gateway and the metadata processing module and configured to isolate video portions, of video the content, associated with respective first portions of the filtered set of metadata, and a cloud services interface communicatively coupled to the gateway, the metadata processing module and the video processing module and configured to provide at least some of the filtered set of metadata or the isolated video portions to a cloud computing service.

A device, system and method for notifying a person-of-interest of their location within an estimated field-of-view of a camera is provided. The device: identifies a person-of-interest in an area proximal one or more of a first camera and the device; receives and processes images from the first camera to identify a second camera located in the area; determines a location of the person-of-interest; and determines, from the images, a respective location and estimated field-of-view of the second camera; determines, by comparing the location of the person-of-interest and the respective location and estimated field-of-view of the second camera, whether the person-of-interest is located within the estimated field-of-view of the second camera; and, when the person-of-interest is located within the estimated field-of-view of the second camera, controls a notification device to provide a notification to notify the person-of-interest of their location within the estimated field-of-view of the second camera.

A surveillance system including a fixed camera and one or more temporary cameras and a control means coupled to the fixed camera and the one or more temporary cameras is disclosed. The control means is configured to extend coverage of the fixed camera using the one or more temporary cameras coupled to the fixed camera. Each of the one or more temporary cameras includes one or more sensors and is configured to be deployed and adjusted based on sensor data obtained from the one or more sensors of the one or more temporary cameras and from one or more fixed camera sensors co-located with the fixed camera.