Improving Object Recognition by Fusion of Multiple Views
نویسندگان
چکیده
In the past decades most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active approaches for object recognition. In this context there are several unique problems to be solved. One of them is how to fuse images from several viewpoints. In this paper we present a well-founded approach for the fusion of multiple views based on a recursive density propagation problem. It uses the well-known CONDENSATION algorithm for solving the fusion in a continuous pose space. Our experimental result we will show how the fusion can improve classification rates substantial especially for difficult conditions like heterogeneous background and not perfectly suited or weak classifiers.
منابع مشابه
Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data
Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...
متن کاملApplication of Combined Local Object Based Features and Cluster Fusion for the Behaviors Recognition and Detection of Abnormal Behaviors
In this paper, we propose a novel framework for behaviors recognition and detection of certain types of abnormal behaviors, capable of achieving high detection rates on a variety of real-life scenes. The new proposed approach here is a combination of the location based methods and the object based ones. First, a novel approach is formulated to use optical flow and binary motion video as the loc...
متن کاملOn Fusion of Multiple Views for Active Object Recognition
In the last few years the research in 3–D object recognition has focused more and more on active approaches. In contrast to the passive approaches of the past decades where a decision is based on one image, active techniques use more than one image from different viewpoints for the classification and localization of an object. In this context several tasks have to be solved. First, how to choos...
متن کاملViewpoint Selection - Planning Optimal Sequences of Views for Object Recognition
In the past decades most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition. In this context there are several unique problems to be solved, like the fusion of several views and the selection of the best next viewpoint. In this paper we present an approach to solve the problem of choosing op...
متن کاملIntegrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition
In the past decades, most object recognition systems were based on passive approaches. But in the last few years a lot of research was done in the field of active object recognition, that is selectively moving a sensor/camera around a considered object in order to acquire as much information about it as possible. In this paper we present an active object recognition approach that solves the pro...
متن کامل