Various embodiments concern a system for monitoring a patient in a bed, the system comprising a camera, a user interface comprising a screen, and a computing system. The computing system can be configured to monitor, with the camera, for motion within each of a plurality of zones, the plurality of zones comprising a one or more inner zones extending adjacent along the bed, one or more outer zones extending adjacent along the one or more inner zones, and one or more end zones. Motion within the inner zones can trigger a fall alert while motion within the outer or end zones can suspend one or more functions to prevent the fall alert from being issued. The end zones can comprise a bottom zone and one or more top zones.

An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data corresponding to a monitored area. The processor may be coupled to the interface and may be configured to (i) process the pixel data arranged as video frames, (ii) perform computer vision operations to detect an object in the video frames, (iii) extract characteristics about the object detected, (iv) generate a three-dimensional (3D) map of the object utilizing the pixel data corresponding to the object, (v) determine whether the object is within a three-dimensional (3D) virtual security zone based on the 3D map of the object, and (vi) generate a trigger signal in response to all or a portion of the object being within the 3D virtual security zone. The 3D virtual security zone is generally determined by a user during a setup procedure.

A security system can use video analytics and/or other input parameters to identify a theft event. Optionally, the security system can take remedial action in response. For example, the security system can use video analytics to determine that a person has reached into a shelf multiple times at a rate above a threshold, which can indicate that a thief is quickly removing items from the shelf. The security system can also use video analytics to determine that a person has reached into a shelf via a sweeping action, which can indicate that a thief is gathering and removing a large quantity of items from the shelf in one motion. In response, the security system can alert security personnel, cause a speaker to output an audible message in the target area, flag portions of the video relating to the theft event, activate or ready other sensors or systems, and/or the like.

A system for monitoring shopping baskets (e.g., baskets on human-propelled carts, motorized carts, or hand-carried baskets) can include a computer vision unit that can image a surveillance region (e.g., an exit to a store), determine whether a basket is empty or loaded with merchandise, and assess a potential for theft of the merchandise. The computer vision unit can include a camera and an image processor programmed to execute a computer vision algorithm to identify shopping baskets and determine a load status of the basket. The computer vision algorithm can comprise a neural network. The system can identify an at least partially loaded shopping basket that is exiting the store, without indicia of having paid for the merchandise, and execute an anti-theft action, e.g., actuating an alarm, notifying store personnel, activating a store surveillance system, activating an anti-theft device associated with the basket (e.g., a locking shopping cart wheel), etc.

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.

A security system in accordance with an embodiment of the present invention includes a security tag operable for connection to an object, a monitoring device operable to monitor whether a party removes or attempts to remove the security tag from the object; an alarm operable to emit a tamper signal when the monitoring device indicates that a party has removed or attempted to remove the security tag from the object in an unauthorized removal condition, and a remote collector system adapted to communicate with the security tag to set the security tag in the unauthorized removal condition and an authorized removal condition, wherein upon receipt of the tamper signal, the remote collector system generates a security message

A feature extracting unit obtains sensor data from a plurality of sensors to calculate each feature. When an event determining unit determines the occurrence of an event based on each feature, a display data constructor generates remote-controller display data for displaying the event, and controls a remote-controller display device to display the remote-controller display data. When a user decision is input from a user input IF based on this display, a control unit controls the sensors to be turned ON or OFF. When an infrared sensor detects an abnormality, a microwave sensor whose power consumption is small after the infrared sensor is turned ON. When the microwave sensor detects an abnormality, a video camera and a microphone are turned ON, and the microwave sensor is turned OFF. A communication unit wirelessly transmits an image signal captured by the video camera and an audio signal processed by the microphone. Then, if the infrared sensor does not detect an abnormality, the video camera and the microphone are turned OFF. With this arrangement, power consumption can be suppressed. The present invention is applied to, for example, a security system, for example, for monitoring outside a vehicle by a video camera disposed in the vehicle when the vehicle is parked.

A feature extracting unit obtains sensor data from a plurality of sensors to calculate each feature. When an event determining unit determines the occurrence of an event based on each feature, a display data constructor generates remote-controller display data for displaying the event, and controls a remote-controller display device to display the remote-controller display data. When a user decision is input from a user input IF based on this display, a control unit controls the sensors to be turned ON or OFF. When an infrared sensor detects an abnormality, a microwave sensor whose power consumption is small after the infrared sensor is turned ON. When the microwave sensor detects an abnormality, a video camera and a microphone are turned ON, and the microwave sensor is turned OFF. A communication unit wirelessly transmits an image signal captured by the video camera and an audio signal processed by the microphone. Then, if the infrared sensor does not detect an abnormality, the video camera and the microphone are turned OFF. With this arrangement, power consumption can be suppressed. The present invention is applied to, for example, a security system, for example, for monitoring outside a vehicle by a video camera disposed in the vehicle when the vehicle is parked.

The invention relates to a method for monitoring a monitored region (10) recorded by a camera, wherein a content analysis is performed for a sub-region (20) of the monitored region (10); wherein the sub-region (20) is determined in dependence on one or more parameters; and wherein the determination of the sub-region (20) is performed anew when at least one of the parameters changes during the monitoring.

An automated electronic video surveillance system enables a high-resolution mega-pixel camera to capture high quality, detailed, magnified images at multiple locations, simultaneously with an overview of the whole scene. A preferred embodiment requiring no moving parts provides full 360-degree continuous viewing with up to 5x all-digital zoom capability. The system performs continuous surveillance and active resolution allocation in the form of a feedback control subsystem that dynamically allocates resources so that important details within a scene receive appropriate scrutiny, while uninteresting areas are imaged at a lower resolution.