An apparatus acquires a video image from a surveillance camera 2 and displays an image based on the video image on a display 3. The apparatus 1 records the video image acquired from the surveillance camera 2 in a recording unit 105. The apparatus 1 includes an abnormality detection unit 106 configured to detect an abnormality from the video image, an attention period determination unit 107 configured to determine an attention period based on a period from a start to an end of a detected abnormality, and a displaying unit 102 configured to display a video image acquired from the surveillance camera 2 as it is on a display 3 until the abnormality being detected ends, and, when the abnormality being detected ends, acquire, from a recording unit 105, a recorded video image recorded in a period corresponding to the attention period and play back the acquired recorded video image.

Provided herein are systems and methods for implementing a video surveillance system. In one or more examples, the improved system can include a video managing system that applies one or more watchlists, to video footage captured by surveillance cameras to apply one or more processing policies indicated by the one or more watchlists. In some embodiments, a watchlist may indicate a plurality of events of interest (e.g., specific classes of objects, a presence of one or more persons, or one or more persons of interest, etc.) that should be detected from video footage. Through these mechanisms, video processing can be increased since the types of events of interest that need to be detected within the video footage are reduced. Non-transitory storage requirements are reduced, and human labor requirements to monitor, analyze, and review video surveillance footage is reduced.

A method for detecting intrusions in a monitored volume in which: N tridimensional sensors acquire local point clouds in respective local coordinate systems, a central processing unit receives the acquired local point clouds and, for each sensor, computes updated tridimensional position and orientation of the sensor in a global coordinate system of the monitored volume by aligning a local point cloud acquired by said tridimensional sensor with a global tridimensional map of the monitored volume, and generates an aligned local point cloud on the basis of the updated tridimensional position and orientation of the sensor, the central processing unit monitors an intrusion in the monitored volume by comparing a free space of the aligned local point cloud with a free space of the global tridimensional map.

A method that includes receiving a data stream from point monitoring cases proximate to confined spaces, the data stream include at least on camera feed of the confined space, generating a display from the data stream for a single display device, wherein the display comprises a tile view including a tile for each confined space of confined spaces being monitored. The tile includes at least one camera feed from a camera located at the confined space, a number of workers in proximity to the confined space, wherein the number of workers is displayed in the tile above the at least one camera feed, control buttons located in the tile to a right of the at least one camera feed, and gas sensor indicators located in the tile.

An asset is identified in a predefined area. The type of asset is identified through video or wireless tag identification. A security policy associated with the type of asset is obtained. Entries in an asset log are recorded based on a location of the asset, an individual handling the asset, and/or actions taken by an individual with respect to the asset based on the security policy. A real-time notification is sent when the location, the handling, and/or any of the actions warrant a notification based on the security policy.

Disclosed is a back-end system for emergency response, and a corresponding front-end system. The back-end system handles network communication to and/or from multiple information sources for gathering emergency response information from the information sources, including at least video data related to an emergency and/or security situation and additional emergency response information. The back-end system extracts subsets of information from the emergency response information at least partly based on input originating from one or more users and/or operators. The back-end system is configured to perform processing of the emergency response information to enable formation of a common overview of the emergency and/or security situation valid for different users/operators, while also enabling the emergency response information and/or extracted subsets thereof to be processed, compiled and/or filtered, and/or presented to a specific user and/or operator in a way that is customized for the specific user and/or operator of the emergency response system.

The various embodiments described herein include methods, devices, and systems for categorizing motion events. In one aspect, a method is performed at a camera device. The method includes: (1) capturing a plurality of video frames via the image sensor, the plurality of video frames corresponding to a scene in a field of view of the camera; (2) sending the video frames to the remote server system in real-time; (3) while sending the video frames to the remote server system in real-time: (a) determining that motion has occurred within the scene; (b) in response to determining that motion has occurred within the scene, characterizing the motion as a motion event; and (c) generating motion event metadata for the motion event; and (4) sending the generated motion event metadata to the remote server system concurrently with the video frames.

A method for displaying video streams involves detecting multiple video events, and displaying multiple video streams on a display. Display windows for displayed video streams define an ordered sequence of display windows. When a new event is detected, the display of one or more of the video streams is shifted to respective next one or more display windows in an ordered sequence of display windows.

The various embodiments described herein include methods, devices, and systems for categorizing motion events. In one aspect, a method is performed at a camera device. The method includes: (1) capturing a plurality of video frames via the image sensor, the plurality of video frames corresponding to a scene in a field of view of the camera; (2) sending the video frames to the remote server system in real-time; (3) while sending the video frames to the remote server system in real-time: (a) determining that motion has occurred within the scene; (b) in response to determining that motion has occurred within the scene, characterizing the motion as a motion event; and (c) generating motion event metadata for the motion event; and (4) sending the generated motion event metadata to the remote server system concurrently with the video frames.

Provided are an event storage device, an event search device, and an event alarm device for an event occurring in a surveillance area. The event storage device includes a processor and a memory and its operation is controlled by the processor. The processor is configured to receive images captured in a surveillance area, detect an event generated in the surveillance area, storing, in the memory, an image related to the event, among the captured images, and storing an event level of the detected event along with the stored image.