A system for monitoring movement of vehicles in an arena. Imaging devices are positioned to capture images of vehicles present in the arena. Each path in which a vehicle can travel in the arena has an associated sequence of imaging devices I.sub.1, . . . I.sub.m-1, I.sub.m, . . . I.sub.n, such that a vehicle traveling along the path appears sequentially in the field of view of imaging devices I.sub.1, . . . I.sub.m-1, I.sub.m, . . . I.sub.n. For at least one path among the paths in the arena, there is no overlap in the fields of view of at least one pair of two consecutive imaging devices in the sequence of imaging devices associated with the path. A processor executes image analysis software and recursively identifies a vehicle in images obtained by the imaging devices in the sequence.

In an installation position information providing apparatus, specific two parts in a vehicle or in a vicinity of the vehicle and a floor surface on which the vehicle is mounted are recognized from a video that is captured, an installation position of an adjustment facility in the video is calculated based on the two parts and the floor surface that are recognized, and an installation position object indicative of the installation position is displayed at the installation position that is calculated in a superimposed manner, in the video that is displayed.

According to an aspect of some embodiments of the present invention there is provided a system for imaging of objects in a scene. The system contains a hardware processor, or multiple hardware processors, which execute(s) code for: receiving, from a first sensor, image or images depicting an object or objects, where the object(s) include(s) an autonomous navigation system that controls a course of the object(s) in space, predicting a spatiotemporal profile of the object(s) within the image(s), and generating instructions for execution by a second sensor for capturing an image of the object(s) at a time and location corresponding to the spatiotemporal profile.

Disclosed are devices, systems and methods for automating parking for a parking facility. Cameras are used to perform a license plate recognition (LPR) readings of vehicles entering and exiting the parking facility. When a match of the LPR reading of a vehicle exiting the facility to any of the vehicles that have entered the facility cannot be found, a secondary identification analysis is performed. The secondary identification analysis can include performing a shape recognition and/or color recognition of still images of the vehicles as they entered and exited the parking facility to find a vehicle match.

A vehicle identification system and method incorporating image recognition for retrieval, authentication, and/or notification. The vehicle identification system having a computing structure comprising at least one processor, a tangible computer-readable memory, and a transceiver for communicating over a network. A camera system communicating with the computing structure. The camera system having at least one camera observing at least one vehicle within a camera range of an establishment. The camera system capturing at least one image of the at least one vehicle. The tangible computer-readable memory comprises instructions to configure the at least one processor to: receive image data from the camera system; and detect an identifiable feature of the vehicle within the image data.

A method and system of handling an alternative pick-up using vehicle information is disclosed. Imaging data is received from at least one imaging device. The at least one imaging device is configured to provide a field-of-view of a predetermined area associated with a retail location. A vehicle identifier for each vehicle within the image data is extracted and compared to each user profile associated with an order in a set of orders. Each user profile includes a primary vehicle identifier and at least one secondary vehicle identifier and the extracted vehicle identifier is compared to the at least one secondary vehicle identifier in each user profile. The extracted vehicle identifier is associated with a first order in the set of orders when the extracted vehicle identifier matches the secondary vehicle identifier of the user profile of the first order.

A system and method to identify and correlate identifying information or signatures with one or more targets of interest. The system may include a plurality of collection systems to capture information related to visual identifiers and/or electronic signatures associated with targets in selected locations. The system may further include an intelligence system to determine a target of interest based on the information related to visual identifiers and/or electronic signatures and to track the target of interest.

This invention identifies vehicles on arrival, and matches exiting vehicles to their corresponding entry event. The matching process uses primarily optical inputs. The system uses at least one camera to capture not only the vehicle license plate but also the visual features. A “signature” formed out of the optical features of the vehicle is compared against the pre-generated signatures of vehicles in a whitelist, and the best match is identified. The “signature” for each exiting vehicle is compared against all signatures of vehicles that entered the garage. A plurality of filters reduce the possible matching candidates based on factors like license plate based edit distance, location information of vehicle owner. Synchronizing a database in each local processing unit (LPU) with a central database enables signature from images from sites that have good license plate reads, to assist in authentication in other sites where the reads are lower quality.

Disclosed herein are methods and systems that allow users to report traffic violations and obtain information concerning reported violations using mobile devices. In one embodiment, a method comprises receiving, at a server, one or more images or videos captured by a mobile device of an offending vehicle committing a potential traffic violation and an extended metadata tag; storing the one or more images or videos and the extended metadata tag as unstructured content in a content lake; generating database tables on top of the content lake; receiving a request from another mobile device to view traffic violation content; querying the database tables and retrieving at least one of the one or more images or videos of the offending vehicle committing the potential traffic violation from the content lake; and generating a GUI to be displayed via the other mobile device showing the traffic violation content.

The invention is based, in part, on a system and method designed to be able to easily and automatically scale up to millions of cameras and users. To do this, this discourse teaches use of modern cloud computing technology, including automated service provisioning, automated virtual machine migration services, RESTful API, and various firewall traversing methods to facilitate the scaling process. Moreover, the system and method described herein teaches scalable cloud solutions providing for higher though-put camera provisioning and event recognition. The network may segregate the retrieval server from the storage server, and by doing so, minimizing the load on any one server and improving network efficiency and scalability.