Video Object Tracking Based On Extended Active Shape Models With Color Information
نویسندگان
چکیده
Tracking and recognizing non-rigid objects in video image sequences are complex tasks of increa sing importance to many applications. For the tracking of such objects in a video sequence e.g. "active shape models" can be applied. The existing active shape models are usually based on intensity information and they do not consider color information. However, active shape models are sensitive to outliers, especially in the case of partial object occlusions. In this paper, we present an extension of the active shape model for color images and we examine to what extent the use of color information can contribute to the solution of the outlier problem.
منابع مشابه
An Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm
In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...
متن کاملColor active shape models for tracking non-rigid objects
Active shape models can be applied to tracking non-rigid objects in video image sequences. Traditionally these models do not include color information in their formulation. In this paper, we present a hierarchical realization of an enhanced active shape model for color video tracking and we study the performance of both hierarchical and nonhierarchical implementations in the RGB, YUV, and HSI c...
متن کاملDynamic and robust method for detection and locating vehicles in the video images sequences with use of image processing algorithm
There are various methods in the field of moving-object tracking in the video images that each of them implies on the specific features of object. Among tracking methods based on features, algorithms based on color are able to provide a precise description of the object and track the object with high speed. One of the efficient methods in the field of object tracking based on color information ...
متن کاملVideo Based Moving Object Tracking by Particle Filter
Usually, the video based object tracking deal with non-stationary image stream that changes over time. Robust and Real time moving object tracking is a problematic issue in computer vision research area. Most of the existing algorithms are able to track only in predefined and well controlled environment. Some cases, they don’t consider non-linearity problem. In our paper, we develop such a syst...
متن کاملShadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually 7 distinguish the shadow from the object itself, and this results in a falsely captured object shape. If we want to utilize the object’s shape information for a pattern recognition task, this poses a severe difficulty. In this paper we present a color processing sch...
متن کامل