Vehicular Traffic Surveillance Using Multiple Methodology
Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages and applications. One of the applications of digital image processing is for traffic analysis. In literature survey found that traffic analysis can be done by Background Subtraction, by non-Drifting Mean-shift using Projective Kalman Filter, using Radar Interferometry. Robust vehicle tracking is essential in traffic monitoring because it is the groundwork to higher level tasks such as traffic control and event detection. The functionality of this technique will be for traffic analysis for real time.