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Pedestrian detection for surveillance video, which is the basic of person re-identification, aims to capture the pedestrians in the monitors. However, the existing pedestrian detection algorithms still have two issues: (1) The recall and precision are not applicable for complicated scenes; (2) It is limited for processing the high-resolution video in real-time. Therefore, pedestrian detection algorithm...
The real-time information on the Web changes dynamically and surge quickly, which cause considerable difficulty in access to interested information. How to mine hot events, how to analyze the correlation of events and how to organize information structurally are challenging tasks. In this paper, to address these problems, we propose STeller, an approach to mine context-aware story — a series of correlated...
With the rapid technological development of various different satellite sensors, a huge volume of high-resolution image data sets can now be obtained and widely used in military and civilian fields. Detecting typical targets in satellite images is a challenging task due to the complicated background. Traditional manually engineered features (i.e. HOG, Gabor feature and Hough transform, etc.) do not...
This paper focuses on the research of image segmentation accuracy problem because traditional Sobel operator image segmentation is easy to cause the vagueness of image segmentation, contrast is not apparent, segmentation accuracy is low. Directed against these defects, this paper puts forward an improved Sobel operator 2-d maximum entropy digital image segmentation method. This algorithm firstly carries...
To increase signal to noise ratio (SNR) and to stress on expectation characters, an improved adaptive minutia preserving smoothing algorithm is proposed using Matlab based on multi-scale and multidirectional masks. This algorithm keeps the mask's good performance in preserving details. It divides image into sub-images according to the statistics from image gradation-gradient histogram, and the adaptive...
This paper proposes an unsupervised bottom-up boundary detection algorithm, which is an improved surround suppression model based on orientation contrast. First, the candidate boundary set is obtained by the edge focusing algorithm. Second, the orientation contrast map is constructed using the response of Gabor filter. The suppression term is computed on orientation contrast map using steerable filter,...
The sub-pixel subdivision algorithm of image processing and measurement is studied in this paper. On the basis of the principle of sub-pixel subdivision, and combined with the gradient direction of boundary points using Gaussian curve interpolation algorithm, the location of the boundary points has been located to sub-pixel level. Through the comparison of sub-pixel subdivision experiment conclusion...
Image segmentation is very essential and critical to image processing and pattern recognition. In order to extract the feature stars, a novel method for image segmentation by use of nonsubsampled contourlet transform (NSCT) is provided by this paper. The space images are transformed by the NSCT, and then the magnitude of the NSCT coefficients of all the directional subbands at a specific level are...
In this paper we address the problem of recovering object contour in infrared video sequences using active contours and level set methods. We propose an approach for variational segmentation of infrared images containing non-rigid, moving objects. The local regions-of-interest (ROIs) are identified firstly using statistical background-subtraction method. While the initialization of background model...
We present a registration algorithm for automatic, robust SAR (Synthetic Aperture Radar) image alignment. The registration problem is handled using sparse feature representation, which comprises local feature localization and description. The feature location is determined by detecting bifurcation structure in edge image and its orientation is assigned using corresponding bifurcation structure type...
SPIHT (set partitioning in hierarchical trees) has given excellent results in terms of compression performance for majority images. However, it is not guaranteed to be optimal since the algorithm is not designed to explicitly consider the human visual system (HVS) characteristics. Extensive HVS research has shown that there are three perceptually significant activity blocks in an image: smooth, edge,...
Set partitioning in hierarchical trees (SPIHT) is considered the premier state-of-the-art algorithm in image compression, but it is not designed to explicitly consider the human visual system (HVS) characteristics. Extensive HVS research has shown that there are three perceptually significant activity blocks in an image: smooth, edge, and texture blocks. The paper uses the shape parameters of generalized...
This paper presents a blind watermark algorithm in mixed transform domain by using chaotic sequence for the watermark locating. After DWT, the DCT is applied on the low frequency and chaotic sequence is used to locate the position of the watermark information in DCT domain. The watermark information is embedded by comparing the frequency coefficients. With favorable transparency, the experimental...
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