Abstract: A building radar-camera system includes a camera configured to capture one or images, the one or more images including first locations within the one or more images of one or more points on a world-plane and a radar system configured to capture radar data indicating second locations on the world-plane of the one or more points. The system includes one or more processing circuits configured to receive a correspondence between the first locations and the second locations of the one or more points, generate a sphere-to-plane homography, the sphere-to-plane homography translating between points captured by the camera modeled on a unit-sphere and the world-plane based on the correspondence between the first locations and the second locations, and translate one or more additional points captured by the camera or captured by the radar system between the unit-sphere and the world-plane based on the sphere-to-plane homography.

Abstract: Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

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: A building access system for a building including a front facing camera system configured to capture one or more images of a face of a user, wherein one or more front facing camera processing circuits configured to detect and authenticate the user based on the one or more images captured by the front facing camera system and operate building equipment. The system further including a down facing camera system configured to capture one or more overhead images of the user from an overhead perspective, wherein one or more down facing camera processing circuits configured to detect whether a second user is tailgating the user based on the one or more overhead images captured by the down facing camera system and generate an alarm in response to a detection that the second user is tailgating the user.

Abstract: A building radar-camera system includes a camera configured to capture one or images, the one or more images including first locations within the one or more images of one or more points on a world-plane and a radar system configured to capture radar data indicating second locations on the world-plane of the one or more points. The system includes one or more processing circuits configured to receive a correspondence between the first locations and the second locations of the one or more points, generate a sphere-to-plane homography, the sphere-to-plane homography translating between points captured by the camera modeled on a unit-sphere and the world-plane based on the correspondence between the first locations and the second locations, and translate one or more additional points captured by the camera or captured by the radar system between the unit-sphere and the world-plane based on the sphere-to-plane homography.

Abstract: A building radar-camera system includes a camera configured to capture one or images, the one or more images including first locations within the one or more images of one or more points on a world-plane and a radar system configured to capture radar data indicating second locations on the world-plane of the one or more points. The system includes one or more processing circuits configured to receive a correspondence between the first locations and the second locations of the one or more points, generate a sphere-to-plane homography, the sphere-to-plane homography translating between points captured by the camera modeled on a unit-sphere and the world-plane based on the correspondence between the first locations and the second locations, and translate one or more additional points captured by the camera or captured by the radar system between the unit-sphere and the world-plane based on the sphere-to-plane homography.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: A building access system for a building including a front facing camera system configured to capture one or more images of a face of a user, wherein one or more front facing camera processing circuits configured to detect and authenticate the user based on the one or more images captured by the front facing camera system and operate building equipment. The system further including a down facing camera system configured to capture one or more overhead images of the user from an overhead perspective, wherein one or more down facing camera processing circuits configured to detect whether a second user is tailgating the user based on the one or more overhead images captured by the down facing camera system and generate an alarm in response to a detection that the second user is tailgating the user.

Abstract: A building radar-camera system includes a camera configured to capture one or images, the one or more images including first locations within the one or more images of one or more points on a world-plane and a radar system configured to capture radar data indicating second locations on the world-plane of the one or more points. The system includes one or more processing circuits configured to receive a correspondence between the first locations and the second locations of the one or more points, generate a sphere-to-plane homography, the sphere-to-plane homography translating between points captured by the camera modeled on a unit-sphere and the world-plane based on the correspondence between the first locations and the second locations, and translate one or more additional points captured by the camera or captured by the radar system between the unit-sphere and the world-plane based on the sphere-to-plane homography.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: A method and apparatus for the investigation of an object or an event in a video clip, by playing video clips of the object or objects associated with the events. The video frames comprised within the video clips comprise information regarding the creation time and coordinates of the objects appearing in multiple frames, thus enabling an operator to immediately play video clips tracking the object starting at the object's creation time within the field of view, until its disappearance from the field of view. By defining neighboring regions, and keeping the creation time of each object within each video stream, an object is tracked between different fields of view.

Abstract: Systems and methods for cloud-based device management. In one implementation, a processing device receives one or more images captured in relation to a device, processes the one or more images to determine a presence of one or more identifiers within the one or more images, based on a determination that an identifier is present within the one or more images, processes the identifier in relation to an information repository to determine a permission status with respect to the identifier; identifies an instruction protocol associated with the device, generates an instruction corresponding to the permission status and the instruction protocol, and provides the instruction to the device.

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Abstract: An apparatus and method for the analysis of a sequence of captured images covering a scene for detecting and tracking of moving and static objects (86) and for matching (88) the patterns of object behavior in the captured images to object behavior in predetermined scenarios.

Abstract: Systems and methods are disclosed for dynamic image capture and processing. In one implementation, a processing device receives a first video stream, the first video stream being captured via an optical sensor configured with a first set of capture parameters. The processing device processes the first video stream with a first set of processing parameters. The processing device receives a second video stream, the second video stream being captured via the optical sensor configured with a second set of capture parameters. The processing device processes the second video stream with a second set of processing parameters. The processing device provides an output based on at least one of (a) the first video stream, as processed, or (b) the second video stream, as processed.

Abstract: An apparatus and method for detection of abnormal motion in video stream, having a training phase for defining normal motion and a detection phase for detecting abnormal motions in the video stream is provided. Motion is detected according to motion vectors and motion features extracted from video frames.

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.

Abstract: A method for verifying the authenticity and integrity of an ordered sequence of digital video frames, without having access to the original recording, by embedding therein a respective series of digital signatures based on a secret key, or keys, and on the video content of respective frames. Signatures are camouflaged by embedding in transform coefficients of a transformed representation of the video data in parts of the frame corresponding to motion. If there is sufficient motion to contain all of the signature bits, a supplementary technique embeds in high-texture areas of a frame. A final fall-back is to embed in a pre-defined default zone. A method of predicting when supplementary embedding is needed enables the process to be applied in a single pass allowing real-time operation. Verification is done during decoding by comparing, for identity, embedded signatures with signatures calculated anew using the method employed to embed.