Attribute |
Vehicle or LP parameter: brand, model, color, LP symbols, etc. |
Best shot |
Frame of the video stream, on which the object is fixed in the optimal view for further use in the CARS API to determine attributes |
Bounding box (BBox) |
A rectangle that bounds the image space with a detected object (Vehicle, LP, pedestrian, animal) |
CARS Analytics |
Subsystem for collecting, storing and displaying the results of the CARS API and CARS Stream operation through a web interface |
CARS API |
Subsystem for detection and recognition of vehicles and LPs attributes |
CARS Stream |
Subsystem for detecting and tracking objects in the video stream and determining the best frames |
Classifier |
An object of the CARS API subsystem that recognizes one of the attributes of a vehicle or LP |
Crop |
An object’s BBox cut out of the frame with a detected object (vehicle, LP, pedestrian, animal) |
Detection |
Actions to determine zones of the image containing objects |
Event |
A type of CARS Analytics work scenario in which the object is considered detected and recognized, but does not require attention to each individual case |
Foreground subtraction (FGS) |
A technology that extracts the background of a video stream and processes only the part where objects are moving. It is used to improve the performance of the system |
FGS model |
The static part of the video stream, that is, the background of the video stream, where there are no moving objects |
Handler |
An algorithm that determines the logic of frame processing. Used for creating scenarios |
Incident |
A type of CARS Analytics work scenario in which the object is considered detected and recognized, but at the same time require attention to each individual case |
License plate (LP) |
An individual alphanumeric designation assigned to a vehicle by a registration unit |
LUNA CARS |
A system designed for detection, tracking, recognition of vehicle and LPS attributes. The system consists of three subsystems: CARS Analytics, CARS API and CARS Stream |
Object |
An item of interest for the system within the detection, re-detection and tracking processes: vehicle, LP, pedestrian or animal |
Redetection |
Repeated actions to determine areas of the image containing vehicle or LP |
Scenario |
System customization for generating events and incidents based on handlers |
Tracking |
The process of obtaining information about the position of the object on a sequence of frames |
Transmission Control Protocol (TCP) |
A real-time streaming protocol that contains a simple set of basic commands for controlling the video stream |
Real Time Streaming Protocol (RTSP) |
A transport-layer data transfer protocol in connectionless networks that provides the delivery of datagrams without requiring confirmation of their receipt |
Vehicle |
A technical device for the transport of people and/or goods, for which a special right is granted |
User Datagram Protocol (UDP) |
A transport-layer data transfer protocol in connectionless networks that provides the delivery of datagrams without requiring confirmation of their receipt |