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This paper presents a model of monitoring method in videos and imagines. In the case of a fixed camera, when moving object appears, all data indicating object movement will change greatly. The real moving target will be detected after processing the data which larger change. The accuracy and instantaneity of will be tested by MATLAB stimulation.
This paper explores artificial immune system in feature extraction mechanism. Certain important features like robustness, dynamic, adaptive, error tolerant, distributive are key features of natural immune system. These features have a detailed description. We have used adaptive immune system to develop this extraction method successfully. The terrain has several facets such as water, vegetation, urban,...
This paper is the continuation of a work presented at ICORR 07, in which we discussed the possibility of improving eye-hand coordination in children diagnosed with this problem, using a robotic mapping from a haptic user interface to a virtual environment. Our goal is to develop, implement and refine a system that will assess and improve the eye-hand coordination and grip strength in children diagnosed...
The complexity of hand function is such that most existing upper limb rehabilitation robotic devices use only simplified hand interfaces. This is in contrast to the importance of the hand in regaining function after neurological injury. Computer vision technology has been used to identify hand posture in the field of Human Computer Interaction, but this approach has not been translated to the rehabilitation...
Traditional window-based color indexing techniques have been widely used in image analysis and retrieval systems. In the existing approaches, all the image regions are treated with equal importance. However, some image areas carry more information about their content (e.g. the scene foreground). The human visual system bases indeed the categorization process on such set of perceptually salient region...
Content-Based Copy Detection (CBCD) is an emergent research topic and has been extensively studied recently. Color is one of the most important and easily recognizable features of visual content. To address efficiency and effectiveness issues of CBCD systems, in this article a compact and computationally inexpensive CBCD scheme using MPEG-7 Dominant Color Descriptor is proposed. This paper proposes...
Texture analysis plays a vital role in remotely sensed image classification as every pixel is going to be classified based on the collective pixel values of neighborhood. The result thus obtained gives increased classification accuracy. In this paper, a modified texture model obtained by modifying Multivariate Local Binary Pattern (MLBP) texture model is used for classification in remotely sensed...
In this paper, we use Genetic and Evolutionary Computation (GEC) to optimize the weights assigned to the biometric modalities of a multi-biometric system for score-level fusion. Our results show that GEC-based multi-biometric fusion provides a significant improvement in the recognition accuracy over evenly fused biometric modalities, increasing the accuracy from 90.77% to 95.24%.
The existing pupil center detection algorithms have fine performance for the ideal eye images. However, the captured eye images are often influenced by various conditions, such as eyelashes, hair, luminance, glasses and so on. In order to detect pupil center under disturbed conditions, this paper proposes a novel algorithm based on radial symmetry transform. Experimental results show that the method...
A new segmentation method is proposed for high resolution remote sensing image. In the high-resolution remote sensing image, there is mass of data to be processed, and land objects exhibits strongly hierarchical and multiscale characters. In order to overcome the disadvantages of pixel-based hierarchical MRF model directly used on high-resolution remote sensed images, a hierarchically multiscale object-oriented...
According to SAR image side-look geometry principle, this paper discussed the geometry co-registration, coherence coarse co-registration and coherence matrix over-sample fine co-registration. The accuracy is from low to high. In the end, the experiment was carried out using the SAR image pair that was collected by ERS-1/2, and the result was correct.
Medical databases have been a popular application field for image retrieval techniques during the last decade. More recently, much attention has been paid to the prediction of medical image modality (X-rays, MRI…) and the integration of the predicted modality into image retrieval systems. This paper addresses these two issues. On the one hand, we believe it is possible to design specific visual descriptors...
In order to improve and enforce environmental monitoring ability, especially in fields of large scale monitoring and dynamic monitoring, the Environmental Satellite will be launched in 2008 in China. Before the Satellite is launched, necessary pre-research work has to be done. Considering future ecological monitoring demand, we have paid more attention to land use/land cover classification method...
In order to extract the regular interference contained in the multibeam echosounding and eliminate random noise, the novel Envelope Locally Weighted Best Estimation (ELWBE) and the improved NLMF (X-metric non local-mean filter, X-NLMF) methods are proposed. The experimental results show that ELWBE and X-NLMF can not only eliminate the random noise but also give the local optimal estimation on preserving...
Vegetation classification is the basis for various hydrological and ecological studies. Some vegetation classifications using NDVI data have been studied commonly, however, there are some limitations in classification of vegetation using the average NDVI value, especially, the study with spectrum characteristics of the NDVI is relatively rare. Based on this, this paper introduces a new vegetation...
Large scale forest mapping and change detection plays a significant role in the study of global change, particularly in the research of carbon source and sink. This paper presents results from forest/non-forest classification using ENVISAT-ASAR data. Both pixel-based and object-based classification method were developed for ASAR HH/HV images acquired on a single date. For the object-based classification,...
In this paper, we propose a region-based MRF model with optimized initial regions (RMRF-OIR) for image segmentation. In the RMRF-OIR, a modified mean shift is introduced to get the optimized initial over segmented regions. Then, a region-based MRF is used to model these initial regions on the region adjacency graph. Finally, the segmentation results will be obtained by using a region merging scheme...
Research on remote sensing monitoring methods of crop planting area is always the hot topic, and theories and methods about single-crop rice emerge one after another. However, in terms of the practice, there are no fixed methods or schemes yet. This paper puts some methods of planting area extracting into practice, and compares their merits and faults in precision and efficiency. The result shows...
Water was the crucial factor that kept wetlands stable and healthy. To fast and accurately extract wetlands water using remote sensing had become an important method on wetlands investigation, research and protection. Generally, the image which has lower spatial resolution, has higher temporal resolution, it is necessary for wetlands' dynamic monitoring. However, the lower spatial resolution, the...
Location-based services are widely used in the Internet services. The method of location cloaking is used to effectively protect the user's location privacy. The current cloaking algorithm does not take into account the regional characteristics, such as population density, popularity level and so on, based on which an attacker can often infer user's exact location from their cloaking area. In this...
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