Classification of Moving Targets Based on Motion and Appearance
نویسندگان
چکیده
We describe a system for detection and classification of moving targets. The system includes change detection and tracking modules, which are based on adaptive background, updated with information from target level processing. The classification module performs hybrid classification which combines motion and appearance features. The system is able to perform real time detection, tracking and classification of different types of targets in natural, real life setting. Experiments demonstrate that the proposed hybrid architecture of classifiers improves classification significantly.
منابع مشابه
Classification of Moving Targets Based on Motion and Appearance in Real-Time
We describe a system for detection and classification of moving targets. The system’s change detection and tracking modules are based on background adaptation, with the help of information about targets obtained from preceding time steps. The classification module performs a hybrid classification that combines motion and appearance features. The system is able to perform real-time detection, tr...
متن کاملGeneral Linear Chirplet Transform and Radar Target Classification
In this paper, we design an attractivealgorithm aiming to classify moving targets includinghuman, animal, vehicle and drone, at groundsurveillance radar systems. The non-stationary reflectedsignal of the targets is represented with a novelmathematical framework based on behavior of thesignal components in reality. We further propose usingthe generalized linear chirp transform for the analysisst...
متن کاملOptimal Observer Path Planning For Bearings-Only Moving Targets Tracking Using Chebyshev Polynomials
In this paper, an optimization problem for the observer trajectory in the bearings-only surface moving target tracking (BOT) is studied. The BOT depends directly on the observability of the target's position in the target/observer geometry or the optimal observer maneuver. Therefore, the maximum lower band of the Fisher information matrix is opted as an independent criterion of the target estim...
متن کاملMoving target classi cation and tracking from real-time video
This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into prede ned categories according to image-based properties, and then robustly tracking them. Moving targets are detected using the pixelwise di erence between consecutive image frames. A classicatoin metric is applied these targets with a temporal consistency constraint to ...
متن کاملMoving target classi cation and tracking from real - time videoAlan
This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predeened categories according to image-based properties, and then robustly tracking them. Moving targets are detected using the pixelwise diierence between consecutive image frames. A classi-catoin metric is applied these targets with a temporal consistency constraint to...
متن کامل