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This paper presents a generic machine learning based approach to devise performance assessment functions for any kind of optimization problem. The need of a performance assessment process taking into account robustness of the solutions is stressed and a general methodology for devising a function to estimate such a performance on any given engineering problem is formalized. This methodology is used...
This paper presents a novel approach for embedding a binary watermark into video frames based on the temporal difference and discrete wavelet transform (DWT). We embed a binary watermark in the most activity region which is obtained by the temporal difference in the approximate band at the first level of discrete wavelet transform (DWT) decomposition of video frames. Experimental results demonstrate...
In this paper, an efficient watermarking algorithm for color image is proposed based on HSI color space and Discrete Wavelet Transform (DWT). The color image is firstly converted from RGB to HSI format to obtain the intensity component. Then sub-blocks of intensity are divided and sorted according to the human visual system (HVS) characteristic. Finally, the scrambled binary watermark, which is achieved...
In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. But by recent information processing techniques, these kinds of features cannot be detected by computers robustly so that in computer vision it's still difficult...
This paper is concerned with the stability and synthesis of fixed structure controllers satisfying robust multi-objective H2/H∞ performance for systems involving human-in-the-loop actuation. Closed loop robust stability conditions are studied for both sector-bounded and passive uncertainties. An iterative algorithm comprised of both genetic algorithms and semi-definite programming is presented for...
Color images play a more and more important role in actual life, and the wavelet transformation technique is effective in image analyzing and processing. Thus the color-image watermark algorithm based on discrete wavelet transformation(DWT) begins to draw an increasing attention. This paper puts forward a robust watermarking algorithm based on wavelet transformation, which takes the masking of Human...
This article is based on Human Visual System (HVS). The carrier image is divided into three regions: the smooth region, the texture region and the fringe region. After the secret image being scrambled, the different merging coefficients are set in the respective region of the carrier image to mix the secret image and the carrier image together. According to the characteristics of the palette image,...
This paper focuses on multimodal gender recognition. To achieve a robust and discriminative performance for gender recognition, visual observations from both face and corresponding fingerprints are fused to serve for the task. The bag-of-words model is employed to structure the image representation. We propose a novel supervised method to construct the visual words, by which the redundant feature...
Humans are adept at grasping different objects robustly for different tasks. Robotic grasping has made significant progress, but still has not reached the level of robustness or versatility shown by human grasping. It would be useful to understand what parameters (called grasp measures) humans optimize as they grasp objects, how these grasp measures are varied for different tasks, and whether they...
Spinal Cord MRI (SC-MRI) is a challenging research field with numerous important clinical and basic research applications. Some of the SC-MRI applications strongly need to deal with a well straightened spinal cord either for appropriate methodological developments, for better visualization or diagnostic purposes. In this article, we develop an efficient and automatic method to straighten the spinal...
In order to overcome the traditional shortcomings of the contact-type fatigue detection for locomotive drivers, this paper presents a system that detects face in images collected by the CCD, then establishes the eye's position in the region of the detected face, to determine the degree of the driver's fatigue through the analysis of the state of the human eye. In this paper, AdaBoost method based...
In this paper, we proposed an image watermarking algorithm based on Human Visual System's perceptual model in the dual tree complex wavelet domain. We took advantages of the regular and the complex wavelets (perfect reconstruction, approximate shift invariance, and good directional selectivity) for watermark embedding. Firstly we applied the JND (Just Noticeable Difference) to control the watermark...
Text-based password schemes have inherent security and usability problems, leading to the development of graphical password schemes. However, most of these alternate schemes are vulnerable to spyware attacks. We propose a new scheme, using CAPTCHA (Completely Automated Public Turing tests to tell Computers and Humans Apart) that retaining the advantages of graphical password schemes, while simultaneously...
Autonomic network management is a vision that brings autonomic computing principles to network management. In this vision, the use of policies is a key aspect. Besides, it is necessary to add some level of decentralization to enable broad autonomic capabilities. Thus, the elements that build decentralized autonomic network management systems (known as autonomic management elements) must be policy-enabled...
NASA's goal to provide a human presence in space while contributing to the knowledge of the science of Earth, other planets, the solar system, and the universe requires a diverse set of scientific and exploration missions. Successful development and execution of these portfolios depends upon a sustainable and affordable long-term strategy. To provide a basis for an adequate annual funding profile...
Natural human-robot interaction requires different and more robust models of language understanding (NLU) than non-embodied NLU systems. In particular, architectures are required that (1) process language incrementally in order to be able to provide early back channel feedback to human speakers; (2) use pragmatic contexts throughout the understanding process to infer missing information; and (3) handle...
Combined with the electronic documents system, a new algorithm is proposed in this paper to verify the sender's identity by embedding indiscernibly on-line handwriting signature features into an image. After the decomposition of host image by discrete wavelet transform, the watermark is embedded adaptively according to human vision system. Due to the watermark based on signature features demanding...
Human tracking, as a basic research in computer vision, is a key technology in many applications, such as robotics for home using, auto-vehicles in city road and automatic surveillance systems. Although it is always a hot topic in the world of computer vision, it still contains many opening areas for researchers, mainly because there is no single framework could solve all the four problems, occlusion,...
With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames...
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our best knowledge, no previous work utilizes L1-norm minimization for human detection. In this paper we develop a novel human detection system based on L1-norm Minimization Learning (LML) method. The method is on the observation...
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