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We present a method for foreground-background video segmentation in real-time that may be used in applications as, for instance, Background Substitution, Analysis of Surveillance Cameras, Highway Cars Detection and so on. Our approach implements a probabilistic segmentation based on the binary Quadratic Markov Measure Fields models (QMMFs). That framework regularizes the likelihood of each pixel to...
The performance evaluation of watermarking scheme is done by two performance metrics: perceptual transparency and robustness. Perceptual transparency refers quality of image which is measured by `Peak Signal to Noise Ratio' (PSNR). Robustness is measured in terms of `Correlation Factor' (ρ). A good quality watermarking scheme should have maximum PSNR, ideally Correlation Factor equals to...
Acquisition of consistent multi-camera image data such as for time-slice sequences (widely known by their use as cinematic effects, e.g. in “The Matrix”) is a challenging task, especially when using low-cost image sensors. Many different steps such as camera calibration and color conformation are involved, each of which poses individual problems. We have developed a complete and extendable setup for...
The problem of image registration is to find the best set of parameters of an affine transformation, which applied to a given image yields the closest match to a target image (possibly with noise). We present a method to perform parametric image registration based on Differential Evolution. Besides using Differential Evolution, we propose to use an error function robust enough to discard misleading...
This paper presents a new human visual system (HVS) based adaptive digital watermarking scheme using discrete cosine transformation (DCT) and singular value decomposition (SVD) for copyright protection. For watermark embedding mask of the original image is computed using HVS model and original image is transformed into frequency domain using DCT. We embed watermark by modifying the singular values...
In this paper, we propose a method to recognize periodic gestures from images. The proposed method uses a amplitude spectrum and a phase spectrum that are obtained by applying Fast Fourier Transform (FFT) to a time series of intensity images. FFT is applied to each pixel of low-resolution images. The method consists of 2 steps. First, the method detects periodic motion regions from the amplitude spectrum...
This paper deals with automatic characterization of video capture actions like scale change (zoom) or translation (traveling) in a video sequence. The overall objective is to enhance the scripted quality while capturing a video sequence by professionals or non professionals. Ultimately, the capture actions would use a predefined video template, progressively filled by the cameraman and automatically...
This paper describes a real-time stereo vision sensor based on the Field Programmable Gate Array (FPGA). It was developed using an image matching algorithm called Orientation Code Matching (OCM). Our implementation, using OCM, provides not only high performance, but also flexibility and a greater robustness, all of which are necessary to embed vision sensors in mobile robots and vehicles. The prototype...
In this paper, a blind video watermarking algorithm based on 3D wavelet transform and Human Visual System (HVS) model is proposed. The proposed method is based on extracting temporal characteristics of video signal and using it to adjust spatial features of each frame. These frames are designed based on HVS model embed the message. Then the message will be extracted from video watermarked through...
The central idea of this paper is to propose an innovative watermarking scheme for digital image authentication which withstands common image processing attacks. Some pixels are randomly selected from original image, so that all of them have a valid 3 × 3 neighborhoods. A binary sequence is constructed from those pixels by comparing them against average values of neighborhoods. The binary sequence...
This paper considers a digital watermarking based on the modification of color image pixels, and proposes an improving method to improve its performance. Conceptually, in the watermark embedding process, an image averaging technique is considered and used to reduce the variation of pixel values, while in the watermark retrieval process, an tuning technique is implemented in the original pixel prediction...
Thanks to the exceptionally good properties, chaotic systems have been widely studied and developed in image scrambling and watermarking algorithms in recent years. In this paper, the chaotic standard Baker map is improved and employed to scramble the pixel positions of host image and watermark image in the preprocessing of watermarking. Experimental results show that the scrambling algorithm based...
In this paper, we propose a method used to improve the performance of the digital watermarking based on the modification in the blue channel of the image pixels. The main objective is to reduce the error prediction caused by the high different values of neighbor pixels. In the proposed method, the edge detection technique takes place in order to find out the high different values of neighbor pixels,...
We propose an image stitching method which can compose the images with similar overlapped regions seamlessly. Traditional minimal error boundary (MEB) based method can't produce correct stitching result when the input images exist photometric inconsistency. To cope with the problem, we adopt the weighted sum of gradient and curvature as the robust feature, which represent the primary content of the...
A novel algorithm is presented for detecting a target placed in background and degraded by non-uniform illumination and additive noise. The algorithm includes two steps. First, the input scene is preprocessed with estimated illumination function. Then the processed scene is correlated with a designed optimum filter based on Wiener filtering. Simulation results show effectiveness of the proposed method...
Binary images have only two distinct pixel color values so the capability of data hiding is very limited. To improve the robustness of watermarking algorithm, we proposed a novel ridgelet based watermarking for binary images. Ridgelet transform is efficient for representing images with line singularities. So, binary host image is partitioned into several non-overlapping blocks to make edges in each...
Clustering algorithms are increasingly employed for the image segmentation. By incorporating the spatial information and the term used in the punishing the distance, a new robust fuzzy c-means (NRFCM) algorithm was proposed for effectively improving the quality of the image segmentation. Its main characteristics are as follows:(1) The negative influence of the noise can be effectively reduced by using...
Image matching is one of the key steps in Processing of InSAR. In order to improve the reliability and the rate of matching, a fast least squares matching algorithm with one-dimensional azimuth searching was proposed. The interferometric SAR images obtained by space-borne ERS-1/2 and by airborne dual-antenna system were employed to do experiments of matching. The results show that the proposed one-dimensional...
In this paper, a memory-based Gaussian Mixture Model (MGMM) is proposed inspired by the way human perceives the environment. The human memory mechanism is introduced to model the background, which can make the model remember what the scene has ever been and help the model adapt to the variation of the scene more quickly. Experimental results show the effect of the memory mechanism in segmenting moving...
In this paper, we consider the digital watermarking based on the modulation of image pixels in YCbCr color space, and propose a method to improve its performance. Basically, we divide the watermark into two parts, and embed each part into each chrominance channel. Based on this concept, in the watermark extraction process, we can reduce the number of the watermarked pixels used in the original pixel...
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