To achieve accurate and robust object detection in the real-world scenario, various forms of images are incorporated, such as color, thermal, depth. However, multimodal data often suffer from position shift problem, i.e., image pair is not strictly aligned, making one has different positions modalities. For deep learning method, this problem makes it difficult to fuse features puzzles convoluti...

Fully convolutional neural networks have achieved great success in salient object detection, which the effective use of multi-layer features plays a critical role. Based on this advantage, many saliency detectors emerged recent years, and most them designed series network structures to integrate multi-level generated by backbone network. However, information different layer play roles how effec...

Recent years have witnessed rapid developments on computer vision, however, there are still challenges in detecting tiny objects a large-scale background. The knowledge become sparse and weak due to their size, which makes the difficult be detected with common approaches. In this paper, new network named Specific Characteristics based Feature Rescaling Fusion (SFRF) is designed detect persons b...

With the present thesis a contribution to the increase of the accuracy and reliability of a sensor-supported recognition and tracking of objects in a vehicle’s surroundings should be made. Based on a detection system, consisting of a stereo camera and a laser scanner, novel developed procedures are introduced for the whole processing chain of the sensor data. In addition, a new framework is int...

One of the main tasks of mediators is to fuse information from heterogeneous information sources. This may involve, for example, removing redundancies, and resolving inconsistencies in favor of the most reliable source. The problem becomes harder when the sources are unstructured/semistructured and we do not have complete knowledge of their contents and structure. In this paper we show how many...

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...

Technological advancements in semiconductor fabrication, coupled with architectural innovation, have resulted in lightningspeed improvements in processor performance, which doubles every eighteen months. While memory capacity has increased commensurately with processor performance, memory access speeds improve at the glacial rate of almost 10% annually [9]. The memory wall is rising fast, and p...

Many databases exist, which are defined on the same universe of objects, but there is no global ID available at all. To fuse data it is necessary to identify objects. As an example think of several population databases, where only name and address are common attributes. Data quality varies over the sources. Therefore the identification is more complicated due to erroneous and obsolete data. The...