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In order to improve the accuracy of pedestrian detection, we proposed an algorithm of multi-channel feature detection based on Discrete Cosine Transform (DCT). We use a two-layer convolution network for arranging the image information after DCT to build a new channel in the frequency domain. The channel can describe complex textures about pedestrian. Combined with the features of the histogram of...
In order to simulate this feature and detect the salient region rapidly, we propose the Spatial-Temporal Feature in Compress Domain (STFCD) model. By respectively using H.264 residual coding length and motion vector coding length, we simulate the salient stimulus intensity and then get video saliency features. Finally, we use the linear weighted fusion algorithm to get the final video saliency maps...
Broken rotor bar is one of the main causes of induction motor fault. The method for detecting the existence of sideband frequency component in stator phase current when the rotor bars broken by motor current signature analysis (MCSA) technology has been widely used. However, there are obvious limitations with the incipient fault, the amplitude of fault signature frequency is much smaller than the...
In long-term multi-temporal images, the objects are very different and the feature matching is very difficult. However, in short-term multi-temporal images, the differences of objects are relatively insignificant. With the small difference, the correct matching points and the right affine transformation can be easily obtained. According to long-term multi-temporal image matching, in the range of time...
Automatic ship detection from high-resolution optical satellite images has attracted great interest in the wide applications of maritime security and traffic control. However, most of the popular methods have much difficulty in extracting targets without false alarms due to the variable appearances of ships and complicated background. In this paper, we propose a ship detection approach based on visual...
Feature and metric researchings are two vital aspects in person re-identification. Metric learning seems to have gained extra advantage over feature in recent evaluations. In this paper, we explore the neglected potential of feature designing for re-identification. We propose a novel and efficient person descriptor, which is motivated by traditional spatiogram and covariance descriptors. The spatiogram...
Traditional Web spam classifiers use only labeled data (feature/label pairs) to train. Labeled spam instances, however, are very difficult, expensive, or time consuming to obtain, as they require the efforts of experienced human annotators. Meanwhile unlabeled samples are relatively easy to collect. Semi-supervised learning addresses the classification problem by using large amount of unlabeled data,...
Cross-language Web content quality assessment plays an important role in many Web content processing applications. In the previous research, natural language processing, heuristic content and term frequency-inverse document frequency features based statistical systems have proven effective for Web content quality assessment. However, these are language-dependent features, which are not suitable for...
Probe calibration should be performed for free-hand tracking and ultrasound (US) fusion with a position sensor-attached US probe in US guided interventions. Difficulties in locating the probe imaging plane and adjusting the alignment of the probe with the calibration phantom call for more complicated and precise phantoms. However, the manufacture of such phantoms is time-consuming and expensive. Furthermore,...
This paper presents a recognition system based on Hidden Markov Model (HMM) for isolated online handwritten mathematical symbols. We design a continuous left to right HMM for each symbol class and use four online local features, including a new feature: normalized distance to stroke edge. A variant of segmental K-means is used to get initialization of the Gaussian Mixture Models' parameters which...
Buildings, roads, and squares are all man-made objects which have similar spectral feature. The similarity leads high false alarm rate of building extraction methods that only depend on spectral feature. In high resolution multispectral images, the shadow of buildings are visible, thus, based on the relations of buildings and shadow, this paper proposes a shadow detection method, extracts building...
Watermarking algorithm based on wavelet transform is a main field in digital watermarking study. With watermarking property, the paper investigates the distributed feature of the wavelet coefficient and analyzes the effect of typical attacks to the wavelet coefficient. Through the experiment of different texture and gray images, the paper analyzes the relation between embedding intensity and watermarking...
In this paper, we propose a new method to extract object contour in a given gray-level image, whose foreground and background are statistically homogeneous and different. Firstly, the image for contour extraction is decomposed by discrete wavelet transform, and the high-pass and low-pass components are used to form intensity and texture energy respectively. Secondly, a minimal partition function,...
People re-detection aims at performing re-identification of people who leave the scene and reappear after some time. This is an important problem especially in video surveillance scenarios. In this paper, we present a method of people re-detection within the context of visual sequence in single-camera setup. We consider re-detection as a binary classification problem, where both global and local descriptors...
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