The color cast images usually have serious loss of the color information and are inconvenient for visual observation and image analysis. To tackle this problem, a novel two-stage image color cast correction scheme is ...
详细信息
Localization is one of the key technologies of wireless sensor networks (WSNs). This paper proposes a mobile anchor-assisted localization method for three-dimensional (3D) networks. In this method, an anchor is equipp...
详细信息
On account of the characteristics of online Chinese-Vietnamese topic detection, we propose a Chinese-Vietnamese bilingual topic model based on the Recurrent Chinese Restaurant Process and integrated with event element...
详细信息
As a result of rapid development, the Internet has become an indispensable tool in people's daily life, and web logs have been growing rapidly as well. How to deal with massive logs timely and extract information ...
详细信息
Ancient language manuscripts constitute a key part of the cultural heritage of mankind. As one of the most important languages, Chinese historical calligraphy work has contributed to not only the Chinese cultural heri...
详细信息
During the strip laminar cooling process, the switching of cooling valves is decided by different operating modes, initial and rolling-terminating conditions. Aimed at shortening the development cycle and at the same ...
详细信息
Tracking-by-detection has become an attractive tracking technique, which treats tracking as a category detection problem. However, the task in tracking is to search for a specific object, rather than an object categor...
详细信息
Object tracking in complex backgrounds with dramatic appearance variations is a challenging problem in computer vision. We tackle this problem by a novel approach that incorporates a deep learning architecture with an...
详细信息
ISBN:
(纸本)9781479957521
Object tracking in complex backgrounds with dramatic appearance variations is a challenging problem in computer vision. We tackle this problem by a novel approach that incorporates a deep learning architecture with an on-line AdaBoost framework. Inspired by its multi-level feature learning ability, a stacked denoising autoencoder (SDAE) is used to learn multi-level feature descriptors from a set of auxiliary images. Each layer of the SDAE, representing a different feature space, is subsequently transformed to a discriminative object/background deep neural network (DNN) classifier by adding a classification layer. By an on-line AdaBoost feature selection framework, the ensemble of the DNN classifiers is then updated on-line to robustly distinguish the target from the background. Experiments on an open tracking benchmark show promising results of the proposed tracker as compared with several state-of-the-art approaches.
In the cloud computing, there are massive functions and resources are encapsulated into Web services. The traditional web service registry systems normally using the central architecture can’t meet the requirements o...
详细信息
In this paper, we present a saliency guided image object segment method. We suppose that saliency maps can indicate informative regions, and filter out background in images. To produce perceptual satisfactory salient ...
详细信息
暂无评论