A monitoring system to monitor a monitoring region includes a number of identifying devices, a number of cameras corresponding to the identifying devices, at least one server, and a monitoring center. The monitoring region includes multiple monitoring sub-regions. The identifying devices are located in the monitoring sub-regions, and identifies a number of signal generating devices entering the monitoring sub-regions. Each camera is located in a corresponding monitoring sub-region, and obtains images of the corresponding monitoring sub-region. The server stores current positions and images of the signal generating devices. The monitoring center searches for a certain signal generating device. If the certain signal generating device is found by the identifying devices, the monitoring center activates the camera corresponding to the monitoring sub-region in which the certain signal generating device is located, and displays images of the certain signal generating device in real time.

Provided in embodiments of the present application are a method and an apparatus for determining picture switching, an electronic device, and a storage medium. The method comprises: issuing tracking tasks for a target object to designated multiple monitoring devices; receiving detection events reported by the monitoring devices, wherein the detection events are event information reported by the monitoring devices based on presence statuses of the target object in acquired video pictures; and determining to perform cross-device tracking picture switching when a received detection event satisfies a preset condition for an object crossing an acquisition area; wherein, the object crossing the acquisition area means that the target object enters or leaves the acquisition area of one of the multiple monitoring devices. Compared with the prior art, applying the solution provided by the embodiments of the present application can reduce the integration difficulty of a management platform of a monitoring system.

A video surveillance system may include at least one sensing unit capable of being operated in a scanning mode and a video processing unit coupled to the sensing unit, the video processing unit to receive and process image data from the sensing unit and to detect scene events and target activity.

In a video surveillance system, confirming videos from plurality of cameras causes a heavy burden on surveillance officers, and it is difficult to select a suitable video for observation. A video surveillance system includes a plurality of cameras which pick up images in a surveillance area, and a recognition unit which detects an object from videos acquired by the plurality of cameras. In the case where an object is detected in a surveillance area where images are picked up duplicately by the plurality of cameras, the recognition unit acquires a recognition result that is a feature quantity of the object for each camera. A display selection unit is, provided which, on the basis of the recognition result and a degree of priority of the recognition result, prioritizes the video from each of the cameras according to the degree of priority.

A multi-camera control apparatus and method to maintain a location and a size of an object in a continuous viewpoint switching service are provided. The multi-camera control method of controlling a main camera configured to capture a moving object of interest and controlling at least one sub-camera configured to capture the object of interest at a different viewpoint from that of the main camera, may include extracting the object of interest from a first image generated by the main camera, controlling a capturing scheme of the main camera based on a change in a location and a size of the extracted object of interest, projecting the object of interest onto a second image generated by the sub-camera, and controlling a capturing scheme of the sub-camera based on a change in a location and a size of the projected object of interest.

A system and method for deadzone detection in a surveillance camera network is disclosed. In a preferred embodiment, a mobile user device held by an installer is moved through one or more critical paths within the premises while surveillance cameras of the network are capturing image data of the premises. An analytics system then tracks the installer/user device through the image data over the time interval for the critical path definition, and locates deadzones based on position information of the premises along the critical path and absence of installer/user device in the image data over the time interval. In another embodiment, an analytics system identifies individuals within image data captured from the cameras, tracks movement of the individuals across the fields of view of the cameras represented by the image data, and infers deadzones based on tracking the individuals and deadzone times calculated for each of the individuals.

A system and method for overlap detection in a surveillance camera network is disclosed. An analytics system of the system receives image data captured from the cameras and detects motion within the image data. The analytics system then correlates detected motion among the image data from the different cameras and determines overlap of fields of view of the cameras. In a preferred embodiment, a mobile user device held by an installer is moved through a critical path at the premises while the cameras are capturing the image data, and the analytics system determines whether the user device/installer is included in the image data from at least two of the cameras. In another embodiment, the analytics system determines overlap by determining correlated motion detection events associated with motion occurring at substantially the same time in image data from two or more different surveillance cameras and inferring that the motion is related.

A method and apparatus for processing video data streams for an area. Objects are identified in the area from images in the video data streams. The video data streams are generated by cameras. First locations are identified for the objects using the images. The first locations are defined using a coordinate system for the images. Graphical representations are formed for the objects using the images. The graphical representations are displayed for the objects in second locations in a model of the area on a display system with respect to features in the area that are represented in the model. The second locations are defined using a geographic coordinate system for the model. A first location in the first locations for an object in the objects corresponds to a second location in the second locations for a corresponding graphical representation in the graphical representations.

Techniques for selecting a view of a video are described for videos having multiple views of a real-world scene that are captured simultaneously. When playback of a video is initiated, an object of interest is identified and tracked by automatically switching between multiple views of the video in order to maintain the object in view within a viewport as the object moves between the multiple views. A user input may be received at a scrub bar of the viewport, prompting generation of a thumbnail preview of the video based on a selected view of the video and a time of the video relating to the user input. The correction may be based on a view that is currently displayed in the viewport.

A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.