Assisted Surveillance of Vehicles of Interest

Vehicle features detection has always been a significant aspect of automatic surveillance, intelligent transportation systems, and autonomous driving among other applications. It has been a challenge to efficiently identify various vehicle features and generate accurate, comprehensive vehicle data from multiple images. Current approaches to vehicle imaging processing are often beset with limitations, such as inefficiency in managing diverse vehicle images, and inaccuracies in detecting specific vehicle features. Existing methods struggle with dealing with different types of vehicles, different angles of photographs, and varying lighting conditions - leading to an acute need for a more advanced and precise imaging processing method.

Technology Description

The technology is a computer-implemented image processing method for operating on image data that represent numerous vehicle images. The method, underpinned by a predefined vehicle attribute data model, processes a part of the image data to ascertain a vehicle feature in at least one of the vehicles represented in the images. It then processes the image data portion to generate associated vehicle data that represent the perceived vehicle feature. This technology stands out because it is uniquely programmed to handle a broad range of vehicle types and an array of vehicle images. The process, guided by the predefined vehicle attribute, allows for the identification of distinct vehicle features and the creation of vehicle data that depict these features - thus providing a comprehensive and precise vehicle imaging processing solution.