Image Analysis and Rule-Based Reasoning for a Traffic Monitoring
Abstract: The paper describes a system for detecting vehicles in urban traffic scenes in daytime and at night by means of image analysis and rule-based reasoning. The strength of the proposed approach is its formal separation between the low-level image processing modules (detecting moving vehicles under day and night light) and the high-level module, which provides a single framework for tracking vehicles in the scene. The image processing modules perform spatio-temporal analysis on moving templates in daytime images, and morphological analysis of headlight pairs in night images. The high-level module is designed as a forward chained production rule system, working on symbolic data, i.e. vehicles and their attributes, and exploiting a set of heuristic roles tuned to urban traffic conditions. The synergy between the artificial intelligence techniques of the high level and low-level image analysis techniques provides the system with flexibility and robustness.
Citation:Cucchiara, Rita; M., Piccardi; P., Mello "Image Analysis and Rule-Based Reasoning for a Traffic Monitoring" N/A, N/A, pp. 758 -763 , N/A, 1999