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An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information. Both visualization and enhancement are combined into a multiresolution framework using wavelets. The HSI is transformed...
This paper presents a real-time and automatic video tracking system with a single pan-tilt-zoom (PTZ) camera. Compared with fixed camera, it can enlarge the surveillance area. By using three-dimensional background-weighted histogram in HSV color space, an improved mean-shift algorithm is proposed, and the algorithm can track target with multiple colors in real time. To keep the target in the center...
We present a computer vision based approach for classifying graphical document images by matching distinct visual patterns present in them. To accomplish this task the image is first decomposed into congruous segments, some of which contain distinct patterns followed by image matching to identify the presence of a specific pattern in the image. We have used clustering based image segmentation to extract...
In this paper, we describe a smart surveillance system to detect human faces in stereo images with applications to advanced video surveillance systems. The system utilizes two smart IP cameras to obtain the position and location of the object that is a human face. The position and location of the object are extracted from two IP cameras and subsequently transmitted to a Pan-Tilt-Zoom (PTZ) camera,...
3D perception consists in receiving two dissimilar retinal images on both eyes. These retinal images undergo pretreatments before arriving at the visual cortex to be merged. In this paper we propose an approach which redraws this pretreatment process. A model for computing the binocular energy is proposed. This model is based on the simple cells and the complex cells properties, which are the source...
Local stereo matching methods still play an important part as they are simple and fast. Some local methods perform well and even better than most global methods. But they usually achieve accuracy at the expense of speed. Simple local methods are fast, but exhibit systematic errors. In this paper, we focus on the invalid regions of traditional window-based matching and present a new solution to improve...
Several similarity measures such as Euclidean Distance, Histogram Intersection, Cosine or Quadratic Distances are usually used to calculate the images similarity rating. However, each of the distances has their own limitations when used in particular situation or application. This paper reports a preliminary study of current similarity measures used based on histogram matching. Few experiments on...
The color histogram based image retrieval method is simple and efficient but losing the spatial distribution information of the color. In this paper, a vector quantization index histograms based image retrieval method is presented. The content of one image is looked as the index frequency histograms of the vector quantization of image blocks. The similarity between two images is computed according...
A new image retrieval method, which is based on an optimum matched cluster-pairs set between two images and referred to as IROMCS, is proposed. it uses assignment model to seek an optimum matched cluster-pairs set. Based on an optimum matched cluster-pairs set, a similarity measure is defined. Since the matching algorithm study the similarity of two clusters based on these two scales both color and...
In this paper, we present a new fast method for matching stereo images acquired by a stereo sensor embedded in a moving vehicle. The method consists in exploiting the matching results obtained in one stereo pair (frame) for computing the disparity map of the following stereo pair. This can be achieved by finding a temporal relationship, which we named association, between consecutive frames. The disparity...
This paper introduces a new segmentation-based approach for disparity optimization in stereo vision. The main contribution is a significant enhancement of the matching quality at occlusions and textureless areas by segmenting either the left color image or the calculated texture image. The local cost calculation is done with a Census-based correlation method and is compared with standard sum of absolute...
A correlation-enhanced similarity matching framework for medical image retrieval is presented in a local concept-based feature space. In this framework, images are presented by vectors of concepts that comprise of local color and texture patches of image regions in a multi-dimensional feature space. To generate the concept vocabularies and represent the images, statistical models are built using a...
In this paper, we describe a system for smart surveillance using stereo images with applications to advanced video surveillance systems. The system utilizes two smart IP cameras to obtain the position and location of objects. In this case, the object target is human face. The position and location of the object are automatically extracted from two IP cameras and subsequently transmitted to an ACTi...
The main challenge for occlusion problem is that features from different objects tend to interact and cause recognition failures for traditional object recognition algorithms where even matched feature points do not necessarily lead to successful recognitions. Feature interactions may be the key to recognize occluded objects. In this paper, we propose a framework to integrate local feature interactions...
Support vector machines (SVM) is gaining a considerable attention as an approach to improvement performance of the content-based image retrieval (CBIR). Most SVM for CBIR rely on global feature, which length of the feature representation is fixed. However, region-based image retrieval (RBIR) use variable length representation, and common kernel utilize the inner product or lp norm in input space,...
A novel method for line matching is proposed. The basic idea is to use tentative point correspondences, which can be easily obtained by keypoint matching methods, to significantly improve line matching performance, even when the point correspondences are severely contaminated by outliers. When matching a pair of image lines, a group of corresponding points that may be coplanar with these lines in...
We evaluate the utility of the periocular region appearance cues for biometric identification. Even though periocular region is considered to be a highly discriminative part of a face, its utility as an independent modality or as a soft biometric is still an open ended question. It is our goal to establish a performance metric for the periocular region features so that their potential use in conjunction...
We propose a new traffic analysis framework using existing traffic camera networks. The framework integrates vehicle detection and image-based matching methods with geographic context to match vehicles across different views and analyze traffic. This is a challenging problem due to the low frame-rate of traffic-cams and the large distance between views. A vehicle may not always appear in a camera...
This paper presents a novel approach for matching 2D points between a video projector and a digital camera. Our method is motivated by camera-projector applications for which the projected image needs to be warped to prevent geometric distortion. Since the warping process often needs geometric information on the 3D scene that can only be obtained from triangulation, we propose a technique for matching...
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