Abstract: An automated self-monitored alarm verification solution including at least a premises portion, a server portion, and an end user device portion. Alarm verification includes capturing by an image capture device at least one image in response to a detection event, and transmitting a first data signal including the image to a local signal processing device. The signal processing device transmits a second signal including at least a portion of the image to a remote hosted server according to at least a first set of predetermined parameters. After receiving the second signal, the server transmits a third signal including at least a portion of the image from the hosted server to a user device. Using the user device, a user views the image and indicates a validity status of the alarm based at least in part on the content of the image.

Abstract: A method for remote event notification over a data network is disclosed. The method includes receiving video data from any source, analyzing the video data with reference to a profile to select a segment of interest associated with an event of significance, encoding the segment of interest, and sending to a user a representation of the segment of interest for display at a user display device. A further method for sharing video data based on content according to a user-defined profile over a data network is disclosed. The method includes receiving the video data, analyzing the video data for relevant content according to the profile, consulting a profile to determine a treatment of the relevant content, and sending data representative of the relevant content according to the treatment.

Abstract: The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic.

Abstract: An automated self-monitored alarm verification solution including at least a premises portion, a server portion, and an end user device portion. Alarm verification includes capturing by an image capture device at least one image in response to a detection event, and transmitting a first data signal including the image to a local signal processing device. The signal processing device transmits a second signal including at least a portion of the image to a remote hosted server according to at least a first set of predetermined parameters. After receiving the second signal, the server transmits a third signal including at least a portion of the image from the hosted server to a user device. Using the user device, a user views the image and indicates a validity status of the alarm based at least in part on the content of the image.

Abstract: A method for remote event notification over a data network is disclosed. The method includes receiving video data from any source, analyzing the video data with reference to a profile to select a segment of interest associated with an event of significance, encoding the segment of interest, and sending to a user a representation of the segment of interest for display at a user display device. A further method for sharing video data based on content according to a user-defined profile over a data network is disclosed. The method includes receiving the video data, analyzing the video data for relevant content according to the profile, consulting a profile to determine a treatment of the relevant content, and sending data representative of the relevant content according to the treatment.

Abstract: Some embodiments include incorporating detailed snapshots of targeted areas of interest into a video or digitized recording of an overall scene. In some embodiments, a single fixed high-resolution scene camera or a fixed standard resolution scene camera of analog or IP connected type is used. The scene camera can be co-located with at least one pan-tilt-zoom (PTZ) camera or used in a mode where less than full resolution of the scene camera is used for video but full resolution snapshots of areas are captured by the same camera. The area of interest is selected by the object-tracking feature of an intelligent video system, operated without human intervention, by electronically-implemented identification of the existence of area-specific subjects or targets of interest in the scene image field.

Abstract: An automated self-monitored alarm verification solution including at least a premises portion, a server portion, and an end user device portion. Alarm verification includes capturing by an image capture device at least one image in response to a detection event, and transmitting a first data signal including the image to a local signal processing device. The signal processing device transmits a second signal including at least a portion of the image to a remote hosted server according to at least a first set of predetermined parameters. After receiving the second signal, the server transmits a third signal including at least a portion of the image from the hosted server to a user device. Using the user device, a user views the image and indicates a validity status of the alarm based at least in part on the content of the image.

Abstract: The present invention describes systems and methods of incorporating detailed snapshots of targeted areas of interest into a video or digitized recording of the overall scene including metadata to link the snapshots to the time and location in the overall scene from which the snapshot was acquired. A single fixed high-resolution scene camera or a fixed standard resolution scene camera of analog or IP connected type is used, co-located with at least one pan-tilt-zoom (PTZ) camera or by using the same scene camera in a mode where less than full resolution of the scene camera is used for video but snapshots of areas are captured by the same camera where higher resolution thereof is used for snapshots than for video. The area of interest is selected by the object-tracking feature of an intelligent video system, operated without human intervention, by electronically-implemented identification of the existence of area-specific subjects or targets of interest in the scene image field.

Abstract: An automated self-monitored alarm verification solution including at least a premises portion, a server portion, and an end user device portion. Alarm verification includes capturing by an image capture device at least one image in response to a detection event, and transmitting a first data signal including the image to a local signal processing device. The signal processing device transmits a second signal including at least a portion of the image to a remote hosted server according to at least a first set of predetermined parameters. After receiving the second signal, the server transmits a third signal including at least a portion of the image from the hosted server to a user device. Using the user device, a user views the image and indicates a validity status of the alarm based at least in part on the content of the image.

Abstract: Method and system for image data analysis, by making use of a Terrain Map Summary Element (TMSE) data structure, in which a Terrain Map data structure provides processed primitive data about each 2×2 kernel of pixels from an original image. The new TMSE is a hierarchical multiple-level or tiered structure of such Terrain Map elements, in which each successive Terrain Map level summarizes, for example, 16 lower level elements or member. By providing such a hierarchical nature of the map elements, richness is enhanced by each higher element because every element of each successively higher level map summarizes the data from elements of the lower level map. For example, in a five-level Terrain Map Summary Element structure according to the disclosure, each element or member of the fifth level contains information summarizing data about 256K pixels.

Abstract: An object selective video analysis and recordation system in which one or more video cameras provide video output to be recorded in a useful form on recording media with reduction of the amount of the recording media, with preservation of intelligence content of the output. Video output is both background video and object video, as images of objects appearing against a background scene. Preset knowledge of symbolic categories of objects in the scene and analysis of object attributes is provided by the system. Spatial resolution and temporal resolution of objects in the scene are automatically varied in accordance with preset criteria based on predetermined interest in the object attributes while recording the background video and object video. A user of the system may query recorded video images by content, enabling the user to recall recorded data according to symbolic content, by requesting data with specified symbolic content.

Abstract: The present invention involves a system for automatically screening closed circuit television (CCTV) cameras for large and small scale security systems, as used for example in parking garages. The system includes six primary software elements, each of which performs a unique function within the operation of the security system to provide intelligent camera selection for operators, resulting in a marked decrease of operator fatigue in a CCTV system. Real-time image analysis of video data is performed wherein a single pass of a video frame produces a terrain map which contains parameters indicating the content of the video. Based on the parameters of the terrain map, the system is able to make decisions about which camera an operator should view based on the presence and activity of vehicles and pedestrians, furthermore, discriminating vehicle traffic from pedestrian traffic.

Abstract: Video segmentation methods and systems are described wherein scene images of subjects and background are captured by video and are automatically segmented according to subject content, as by system determination of the nature of subjects. Segmentation transformations of an original background and foreground images in the scenes are provided as a terrain map. Automatic segmentation threshold adaptation is based on measuring the segmentation noise while holding the number count of noise blobs constant, whereby to achieve noise-adaptive segmentation gain. Automatic threshold adaptation within multiple areas of the scene results in different possible thresholds in different areas based on the amount of segmentation noise in each area. Segmentation is improved accordingly.

Abstract: Video segmentation methods and systems are described wherein scene images of subjects and background are captured by video and are automatically segmented according to subject content, as by system determination of the nature of subjects. Segmentation transformations of an original background and foreground images in the scenes are provided as a terrain map. Automatic segmentation threshold adaptation is based on measuring the segmentation noise while holding the number count of noise blobs constant, whereby to achieve noise-adaptive segmentation gain. Automatic threshold adaptation within multiple areas of the scene results in different possible thresholds in different areas based on the amount of segmentation noise in each area. Segmentation is improved accordingly.

Abstract: The present invention describes systems and methods of incorporating detailed snapshots of targeted areas of interest into a video or digitized recording of the overall scene including metadata to link the snapshots to the time and location in the overall scene from which the snapshot was acquired. A single fixed high-resolution scene camera or a fixed standard resolution scene camera of analog or IP connected type is used, co-located with at least one pan-tilt-zoom (PTZ) camera or by using the same scene camera in a mode where less than full resolution of the scene camera is used for video but snapshots of areas are captured by the same camera where higher resolution thereof is used for snapshots than for video. The area of interest is selected by the object-tracking feature of an intelligent video system, operated without human intervention, by electronically-implemented identification of the existence of area-specific subjects or targets of interest in the scene image field.