Abstract: A method and system for alarm verification based on video analytics of a plurality of alerts issued by an alert system, wherein the alert system includes at least one sensor, are provided herein. The system may include: a server comprising a computer processor and an interface for communicating with the alert system, wherein the computer processor is configured to: receive at least one alert issued by the alert system; receive at least one video clip associated with the at least one alert; and analyze, by the computer processor, using video analytics algorithms, the at least one video clip, and determine whether the at least one alert is reliable above a predefined threshold.

Abstract: A method and system for generating an interaction-aware video synopsis are provided herein. The method may include the following steps: obtaining, a source video containing a plurality of source objects; extracting the source objects from the source video; detecting at least one object-interaction between at least two source objects; generating synopsis objects by sampling respective source objects; and generating a synopsis video having an overall play time shorter than the overall play time of the source video, by determining a play time for each one of the synopsis objects, wherein a relative display time in the synopsis video of the at least two synopsis objects created from the at least two source objects, detected as having an object-interaction therebetween, is the same as the relative display time of the at least two source objects in the source video.

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of the redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: A method and system for alarm verification based on video analytics of a plurality of alerts issued by an alert system, wherein the alert system includes at least one sensor, are provided herein. The system may include: a server comprising a computer processor and an interface for communicating with the alert system, wherein the computer processor is configured to: receive at least one alert issued by the alert system; receive at least one video clip associated with the at least one alert; and analyze, by the computer processor, using video analytics algorithms, the at least one video clip, and determine whether the at least one alert is reliable above a predefined threshold.

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of the redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: A system and a method for training a machine learning model with a subclass of one or more predefined classes of visual objects obtained from a video, are provided herein. The method includes: presenting to a human operator, over an electronic display, a plurality of visual objects obtained from the video, wherein the plurality of visual objects belongs to one or more predefined classes of visual objects; receiving from the human operator, a selection of some of the plurality of visual objects, wherein the selection is directed at visual objects belonging to at least one subclass of the one or more predefined classes; and training a machine learning model, using a computer processor, to distinguish between visual objects belonging to the at least one subclass and visual objects belonging to the predefined one or more classes but not belonging to the at least one subclass, based on said selection.

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of the redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: A video camera and a device for automatic video or audio redaction are provided herein. The device may include: an image capturing device configured to obtain an input video having a plurality of video frames; a communication interface configured to obtain descriptors of at least one prespecified object, being a visual or an acoustic object; a computer processor configured to: obtain a detected object in the video frame, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generate a redacted video by removing or replacing the matched objects therefrom; and record the redacted video on a data storage device or transmit the redacted video via a video management server, wherein the computer processor is configured to generate the redacted video prior to storing the redacted video on the data storage device or transmitting the redacted video via the video management server.

Abstract: A system and a method for automatic video redaction are provided herein. The method may include: receiving, an input video comprising a sequence of frames captured by a camera, wherein the input video includes live video obtained directly from the camera, wherein recordation of the video directly from the camera is disabled; performing visual analysis of the input video, to detect portions of the frames of the input video in which one of a plurality of predefined objects or a descriptor thereof is detected; generating a redacted input video by replacing the portions of the frames with new portions of another visual content; and recording the redacted input video on a data storage device, wherein the generating of thethe redacted input video, is carried out by a computer processor, after the input video is captured by the camera and before the recording of the redacted input video on the data storage device.

Abstract: A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

Abstract: A system and a method for visual analysis of customer interaction at a scene are provided herein. The method may include: receiving at least one video sequence comprising a sequence of frames, captured by cameras covering the scene which includes at least one staff person and at least one customer; detecting, using a computer processor, persons in the at least one video sequence; classifying, using the computer processor, the persons to at least one customer; calculating a signature for the at least one person, enabling a recognition of the at least person appearing in other frames of the video sequences; and carrying out a visual analysis, using the computer processor and based on the at least one video sequence of at least one customer interaction which is visible at the scene, to yield an indication of the interaction between the staff person and the at least one customer.

Abstract: An output video is created by at least two cameras recording respective source videos, each having multiple video frames containing video objects imaged by the cameras corresponding to multiple instances of one or more respective source objects traversing the site. Output video objects having a new start display time are computed such that a total duration of display times of all video objects from all source videos is shorter than a cumulative duration of the source videos. The output video objects or graphical representations thereof are rendered at new display times over a background image such that (i) instances imaged by different cameras at different times are represented simultaneously; (ii) at least two output video objects originating from a common camera have different relative display times to their respective source objects; and (iii) in at least one location there are represented instances imaged by two different cameras.

Abstract: A system and a method for automatic video and/or audio redaction are provided herein. The method may include the following steps: obtaining an input video; obtaining at least one prespecified object, being a visual or an acoustic object or a descriptor thereof; analyzing the input video, to detect a matched object, being an object having descriptors similar to the descriptors of the at least one prespecified object; and generating a redacted video by removing or replacing the matched objects therefrom.

Abstract: Method and system for producing relevance sorted video summary are provided herein. The method may include: obtaining a source video containing a plurality of source objects; receiving features descriptive of at least some of the source objects; clustering the source objects into clusters, each cluster including source objects that are similar in respect to one of the features or a combination of the features; obtaining relevance level of the clustered source objects, respectively; generating synopsis objects by sampling respective clustered source objects; and generating a synopsis video having an overall play time shorter than the overall play time of the source video by determining a play time for each of the synopsis objects based at least partially on the respective relevance level.