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A scale-adaptive method for tree segmentation and recognition based on the LiDAR height data is described. The proposed method uses an isotropic matched filtering operator optimized for the fast and reliable detection of local and multiple objects. Sequential local maxima of this operator indicate the centers of potential objects of interest such as the trees. The maxima points also represent the...
An iterative and localized Radon transform is proposed in this paper for the specific application of road network extraction from high resolution satellite imagery. Based on an accurate estimation of the line width and line parameters in the radon space, the localized Radon transform makes it possible to detect the small road segments and the long curvilinear lines, which is a difficult task in road...
This paper presents a novel algorithm of using wavelet transform and partial distance search (PDS) to realize the kNN classifier on field programmable gate array (FPGA) with multiple modules. The algorithm identifies first k closest vectors in the design set of a kNN classifier for each input vector by performing the PDS in the wavelet domain, and allows concurrent classification of different input...
In this paper a solution to detect wrong way drivers on highways is presented. The proposed solution is based on three main stages: Learning, Detection and Validation. Firstly, the orientation pattern of vehicles motion flow is learned and modelled by a mixture of gaussians. The second stage (Detection and Temporal Validation) applies the learned orientation model in order to detect objects moving...
Stroke recognition in tennis is important for building up statistics of the player and also quickly analyzing the player. It is difficult primarily on account of low resolution, variability in strokes of the same player as well as among players, variations in background, weather and illumination conditions. This paper proposes a technique to automatically classify tennis strokes efficiently under...
This paper describes a general framework for the detection and tracking of traffic and road signs from image sequences using only color information. The approach consists of two independent parts. In the first we use a set of Gaussian distributions that model each color for detecting road and traffic signs. In the second part we track the targets detected in the first step over time. Our approach...
This paper describes a new planning algorithm to perform automatic dimensional inspection of 3D industrial parts using a machine vision system. Our approach makes use of all the information available in the system: model of the machine part to inspect and characteristics of the inspection system obtained in previous calibration stages. The analysis is based on discretizing both the configuration space...
Mixed Reality (MR) applications tend to focus on the accuracy of registration between the virtual and real objects of a scene, while paying relatively little attention to the representation of the luminance range in the merged video output. In this paper, we propose a means to partially address this deficiency by introducing Enhanced Dynamic Range Video, a technique based on differing brightness settings...
A major problem in surveillance systems is the occurrence of false alarms which lead people to take wrong actions. Thus, if the false alarm is frequent and occurs mainly due to system misclassification, this system will turn into an unreliable one and briefly out of use. This paper proposes a classification method to oil spill detection using SAR images. The proposed methodology uses boosting...
Paleography experts spend many hours transcribing ancient documents and state-of-the-art handwritten text recognition systems are not suitable for performing this task automatically. We propose here a new interactive, on-line framework which, rather than full automation, aims at assisting the experts in the proper recognition-transcription process; that is, facilitate and speed up the transcription...
Degradation in old documents has been a matter of concern for a long time. With the easy access to information provided by technologies such as the Internet, new ways have arisen for consulting those documents without exposing them to yet more dangers of degradation. While restoration methods are present in the literature in relation to text documents and artworks, little attention has been given...
To a large extent noise suppression algorithms have been designed to deal with the two most classically defined types of noise: impulsive and Gaussian noise. However digitized images such as those acquired from historical photographs such as albumen prints contain a form of quasi-noise we shall term chaotic noise. This paper describes the concept of chaotic noise and proposes two fuzzy filters to...
This paper presents way of generation color documents from elements extracted from an original document image. This scheme yields synthetic documents of similar visual information to the original one. This method has several advantages as it allows a far more efficient way of storing and transmitting the information. Its rationale is to decompose a color document into paper and ink texture parameters...
Portable digital cameras are of widespread use today. Their image quality, low cost and portability have drastically changed the culture of photography. Professionals of many different areas start to take photos of documents, instead of photocopying them. This article presents techniques for improving the quality of document images digitalized with portable digital cameras.
In this paper, we propose a coordinate transform model to rectify both the perspective and surface curving distortions of a book image, which is captured by a 2D digital camera. The rectification process includes three steps: 1) detect the boundary of a curved page on a book image; 2) knowing the four boundary curves of a book page should be mapped to the four sides of a rectangle, we build up the...
We present a global approach that enables the production of 3D soccer sequences from non-calibrated video cameras. Our system can produce a 3D animated model of the scene from a single non-calibrated moving camera (a TV sequence for example). The results presented here are very encouraging even with a single camera approach and will probably improve with the future introduction of multiple images...
The ortho-rectification of satellite images is normally a time-consuming and expensive task. It can strongly benefit from automatic or semi-automatic procedures in order to avoid field work for ground control survey. This article presents an automated method to automatically georeference satellite images acquired by the ASTER sensor. The method is based on automatic matching of images and Digital...
An efficient sorting mail system is mainly based on an accurate optical recognition of the envelopes addresses. However, the location of the address block (ABL) should be done before the OCR recognition process. The location step is very crucial as it has a great impact on the global performance of the system. Actually, a good location step leads to a better recognition rate. The limit of current...
This paper presents a new method for detecting poultry skin tumors in hyperspectral reflectance images. We employ the principal component analysis (PCA), discrete wavelet transform (DWT), and kernel discriminant analysis (KDA) to extract the independent feature sets in hyperspectral reflectance image data. These features are individually classified by a linear classifier and their classification results...
This paper presents real-time fabric defect detection based in intelligent techniques. Neural networks (NN), fuzzy modeling (FM) based on product-space fuzzy clustering and adaptive network based fuzzy inference system (ANFIS) were used to obtain a clearly classification for defect detection. Their implementation requires thresholding its output, and based in previous studies a confusion matrix based...
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