scorpeeon
commented
10 years ago A real-time highway monitoring system called VECTOR for tracking and classifying vehicles from live video streams.
According to #56 : "Morris and Trivedi [18] proposed a real-time highway monitoring system called VECTOR for tracking and classifying vehicles from live video streams. In their method, the front-end of the system includes object detection by adaptive background subtraction, Kalman filter-based tracking, and vehicle classification with tracking details. During object detection, blob features of an object are extracted, such as area, bounding ellipse, and image moments, and transformed using linear discriminant analysis (LDA). The reduced feature set is then applied to classify vehicles into 8 main classes using a weighted K nearest neighboring (wKNN) method. Efforts have been made to improve the performance of the VECTOR system by adding real-time situational awareness to highway monitoring for high-level activity and behavior analysis [19]. A path prediction module was proposed to detect abnormal trajectories and to predict future intent of drivers, where the spatio-temporal motion characteristics of motion paths are encoded by a hidden Markovmodel (HMM)."
Might be mostly interesting for classification which is done by leveraging tracking information. The system classifies vehicles into the 8 different types: Sedan, Pickup, SUV, Van, Semi, Truck, Bike, Merged.
RealTimeVideoBasedHighwayTrafficMeasurementAndPerformanceMonitoring.pdf