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Traditional barcode recognition algorithm usually do not fit the cylindrical code but the one on flat surface. This paper proposes a low-cost approach to implement recognition of the curved QR codes printed on bottles or cans. Finder patterns are extracted from detecting module width proportion and corners of contours and an efficient direct least-square ellipse fitting method is employed to extract...
A novel radar target recognition method using high-resolution range profile (HRRP), called as optimal transformation (OT), is proposed in this paper. The aim of this approach is to increase the distance between the different classes, and reduce the distance between the same class. Firstly, OT enhances the between-class difference by increasing the distance between clustering centers. Then, OT reduces...
This paper describes a pedestrian detection method using feature selection based on logistic regression analysis. As the parent features, Haar-like and Histograms of Oriented Gradients (HOG) features are used manually. For the statistical analysis, stepwise forward selection, backward elimination, and Least Absolute Shrinkage and Selection Operator (LASSO) methods are applied to our Logistic Regression...
Recently, research on the habit of creatures and their characteristics are widely based on image processing. Observing the behavior of Gryllus bimaculatus is important to understanding the ecology of their characteristics. Therefore, in this paper, we introduced an image processing algorithm and constructed a technique of image observation to detect crickets based on an advanced statistical reach...
Environment perception is an important research issue for both unmanned ground vehicles and robots. To improve the capacity of perception, a visualized acoustic saliency feature extraction (VASFE) method based on both the short-time Fourier transform (STFT) and the Mel-Frequency Cepstrum Coefficient (MFCC) for environment sound signal processing is proposed in this paper. Sound signal is visualized...
Kernel Fisher discriminant analysis(KFDA) improves greatly the multi-classification accuracy of FDA via using kernel trick. The optimal kernel Fisher projection of KFDA can be expressed as a generalized characteristic equation. However, solving the characteristic equation is very difficult, then regularization method is used for it. In this paper, we develop a novel approach to perform regularization...
Disorders associated with repeated trauma account for about 60% of all occupational illnesses, being Carpal Tunnel Syndrome (CTS), the most consulted today. Infrared Thermography (IT) has come to play an important role in the field of medicine, where diseases are detected by temperature variations. In this paper we present the extraction of temperature variations in space and time from hands of healthy...
In this paper, we propose distribution based binary discriminative features and a novel feature enhancement process for automatic modulation classification. The new features exploit the signal distribution mismatch between two modulations. Signal distributions on I-Q segments, amplitude and phase, are considered to produce a comprehensive feature set for improved robustness. Logistic regression is...
Soccer video processing and analysis to find critical events such as occurrences of goal event have been one of the important issues and topics of active researches in recent years. In this paper, a new role-based framework is proposed for goal event detection in which the semantic structure of soccer game is used. Usually after a goal scene, the audiences' and reporters' sound intensity is increased,...
We propose a novel method for detecting and enhancing specular highlights from a video sequence, thereby obtaining a better visual perception of the specularity. To this end, we first generate a specularity map, defined over the space-time domain, by leveraging information provided by the temporal acquisition. We then amplify the highlights in each video frame to create the visual sensation of high...
Fusion techniques can be used in biometrics to achieve higher accuracy. When biometric systems are in operation and the threat level changes, controlling the trade-off between detection error rates can reduce the impact of an attack. In a fused system, varying a single threshold does not allow this to be achieved, but systematic adjustment of a set of parameters does. In this paper, fused decisions...
In [1] Lienhart and Maydt introduced the calculation of rotated Haar-Wavelets by 45°. They showed that the extended set of possible wavelets improves the object recognition method of Viola et al. [2]. In this paper, we introduce a novel integral image structure which holds the information of a standard and a 45° rotated integral image. We use this image structure to improve a simple and efficient...
The proposed algorithm in this paper is capable of classifying not only unusual speech when people get anger, surprised, or excited but also unusual noise such as clashing, hitting, or clapping in real-time without depending on particular speaker voices or utterances. Also, it does not require a prior learning process to construct acoustic models. This algorithm, therefore, allows a surveillance camera...
Local Binary Pattern (LBP) has been well recognised and widely used in various texture analysis applications of computer vision and image processing. It integrates properties of texture structural and statistical texture analysis. LBP is invariant to monotonic gray-scale variations and has also extensions to rotation invariant texture analysis. In recent years, various improvements have been achieved...
Multiple-shot person re-identification tackles the problem to build the correspondences between sets of human images obtained from distributed cameras. It is challenging due to large within-class variations and small between-class differences, caused by the changing of human appearance and environment. Existing methods for addressing this issue include designing the representation to capture the within-set...
We present in this paper a multi-shot human reidentification system from video sequences based on SURF matching. Our contribution is about the matching step which is crucial. In this context, we propose a new method of SURF matching via sparse representation. Each SURF Interest Point in the test sequence is represented by a sparse representation of SURFs points in the reference dataset. For efficiency...
Document Image Binarization is a technique to segment text out from the background region of a document image, which is a challenging task due to high intensity variations of the document foreground and background. Recently, a series of document image binarization contests (DIBCOs) had been held that have drawn great research interest in this area. Several document binarization techniques have been...
This paper presents a novel method to utilize 2D LIDAR for INS (Inertial Navigation System) aiding to improve 3D vehicle position estimation accuracy, especially when GNSS signals are shadowed. In the proposed framework, 2D LIDAR aiding is carried out without imposing any assumptions on the vehicle motion (e.g. we allow full six degree-of freedom motion). To achieve this, a closed-form formula is...
In this paper, a kind of clipping detection method for audio signal is proposed based on kernel Fisher discriminant (KFD) in MDCT domain. The kernel method and the Fisher linear discriminant analysis (FLDA) are introduced to the proposed method. First, the clipping and non-clipping feature parameters are extracted using MDCT coefficients of audio signals. Next, the optimal projection vector and the...
Chronic hepatitis is one of the most important health threats worldwide. Although ultrasound is commonly used to diagnosis of various liver diseases, the accuracy of visual diagnosis is very low, and it also strongly depends on the experience of radiologist. The identification and classification of ultrasound images have become very desirable due to the rapid development of computer technology. However,...
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