Abstract: A system, method and non-transitory computer readable medium for generating validated remote sensing change images that includes a user input device for selecting high-resolution satellite images, and processing circuitry to generate a depth map and a semantic map from a static image. A change simulator determines candidate areas for change simulation and generates a change depth map and change mask focusing on objects removed from the static image. An image diffusion neural network applies a control network and stable diffusion to generate pre-change and post-change image tiles. Validation processing circuitry iterates through a validation process to validate the pair of change tiles to obtain a validated pair of change tiles and a validated change mask.

Abstract: A system and a method for tracking individual persons across multiple cameras and over extended periods include an event streaming processing circuitry, a server, an application processing circuitry, a Tensor Database system and an output device. The event streaming processing circuitry receives streams of data from the cameras. The server includes Artificial Intelligence (AI) based models for person detection and embedding vector extraction to obtain person bounding box images and person embedding vectors. The application processing circuitry includes an Embedding Manager that maintains a collection of distinct embedding vectors for each person and an ID Manager that maps short-term person IDs to respective long-term IDs. The ID Manager associates the person with a unique long-term ID across the cameras. The Tensor Database system maintains the extracted embedding vectors. The output device tracks the person appearing across the cameras based on the long-term ID.

Abstract: A method and system for constructing a three-dimensional (3D) aerial survey of a city street scene include obtaining a plurality of video frames from a calibrated multi-camera setup covering a 360-degree view mounted on a moving vehicle. The plurality of video frames is split into a plurality of 3D parts containing a subset of the plurality of video frames and preprocessing the subset of the plurality of video frames of each part of the plurality of parts to obtain a calculated information. Further, constructing, by the processing circuitry, a 3D representation of each part of the plurality of parts based on the calculated information to obtain a plurality of local 3D reconstructed scene intervals. The method includes stitching and filtering, by the processing circuitry, the plurality of local 3D reconstructed scene intervals to construct the 3D city street scene.

Abstract: A computer-implemented method for generating a 3D model from an image of an area of interest (AOI), the method comprising: analyzing an image of the AOI with a segmentation module generating a depth map by analyzing an output of the segmentation module with a depth map module; and, converting the depth map into a height map and a 3D model of the AOI. A system for generating a 3D model from an image of an area of interest (AOI) and a non-transitory computer-readable medium comprising instructions for performing the method are also disclosed.

Abstract: In some embodiments, a method and system for detecting surface changes in a geographical area over time is disclosed. The method includes encoding pre- and post-event images using frozen features of Segment Anything Model (SAM), processing encoded embeddings by a change modeler, processing change embeddings by a change prompter, decoding change embeddings and prompt embeddings using SAM to obtain change masks which include the detected changes.

Abstract: A system for detection of a vehicle that blocks an ambulance while the ambulance is responding to an emergency call. The system includes a camera mounted on the ambulance that captures images or video of the surrounding area. A processor, such as an edge computing device with a graphical processing unit (GPU), analyzes the captured data to identify vehicles obstructing the ambulance's path. The system can identify both a leading violating vehicle that directly blocks the ambulance and a primary violating vehicle further ahead that may be causing the obstruction. The system also includes a communication unit to transmit data to a web-based portal or a cloud-based AI engine for further analysis and action.

Abstract: A tailgating detection system and method includes a single monocular camera, an embedded computer system for determining a tailgating event based on images captured by the camera, the determining of the tailgating event including detecting and tracking wheels of front and tailgating vehicle candidates and determining respective speeds relative to a speed of a vehicle that the camera is mounted and using frame rate of the camera, a location determining device for determining the location where the tailgating event occurred, and a communication unit for transmitting a notification of the tailgating event including the location where the tailgating event occurred.

Abstract: A system, apparatus and method of embedded ego vehicle speed estimation apparatus, including a car-mounted monocular camera for capturing a sequence of video frames of an outdoor scene from a moving car, where the outdoor scene includes a road, as a camera channel, and processing circuitry. The processing circuitry is configured with a single-shot network and a 3D convolutional neural network (3D-CNN), the single-shot network segments features of the road in the video frame sequence and generates a masked-attention map for the segmented road features, a concatenation circuit concatenates the masked-attention map as an additional channel to the camera channel to generate a masked-attention input, and the 3D-CNN network receives the masked-attention input and generates an estimated speed of the ego vehicle based on displacement of the segmented road features in the video sequences.