This paper proposes an approach for trajectory matching in video retrieval. Algorithm is consist of three parts. First, a terse trajectory contains most important temporal and spatial characters are abstracted. Then, ...
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An effective approach for coverage holes was proposed, called Distance-assistant Coverage Hole Parching (DACHP) strategy. DACHP strategy would achieve the purpose of patching coverage holes using redundant sensor node...
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ISBN:
(纸本)9781629932170
An effective approach for coverage holes was proposed, called Distance-assistant Coverage Hole Parching (DACHP) strategy. DACHP strategy would achieve the purpose of patching coverage holes using redundant sensor nodes within the wireless sensor networks. Simulation results show, compared with DFNFP and random algorithm, for the same size and shape coverage hole, DACHP can awaken five redundant nodes to patch 92.19% of hole, yet DFNFP needs awaken nine redundant nodes and just patch 90.28%. It can be seen that DFNFP not only awaken four extra nodes, but also is lower 1.19% in patching rate of hole than DACHP. In addition, DACHP is more stable in utilization of redundant nodes and does not produce additional cost.
This paper proposes a novel geodesic saliency propagation method where detected salient objects may be isolated from both the background and other clutter by adding global considerations in the detection process. The ...
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ISBN:
(纸本)9781479923427
This paper proposes a novel geodesic saliency propagation method where detected salient objects may be isolated from both the background and other clutter by adding global considerations in the detection process. The method transmits saliency energy from a coarse saliency map to all image parts rather than from image boundaries in conventional cases. The coarse saliency map is computed using the combination of global contrast and Harris convex hull. Superpixels from pre-segmented image are used as pre-processing to further enhance the efficiency. The proposed propagation is geodesic distance assisted and retains the local connectivity of objects. It is capable of rendering a uniform saliency map while suppressing the background, leading to salient objects being popped out. Experiments were conducted on a benchmark dataset, visual comparisons and performance evaluations with 9 existing methods have shown that the proposed method is robust and achieves the state-of-the-art performance.
An image compression-encryption algorithm based on 2-D compressive sensing is proposed, which can accomplish encryption and compression simultaneously. The measurements are performed in two directi-ons and the measure...
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The surface quality of the steel slab directly affects the performance and quality of the final steel *** to the raw material,rolling equipment and processing technology,however,different types of surface defects migh...
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The surface quality of the steel slab directly affects the performance and quality of the final steel *** to the raw material,rolling equipment and processing technology,however,different types of surface defects might exist on the steel slab surface,such as scarring,crack,roll marks,scratches,pinholes,phosphorus leather,holes,pitting,*** defects not only affect the appearance of the steel products,but also reduce the performances of steel products,such as the corrosion resistance,wear resistance and fatigue strength of the ***,it is very important to detect and identify automatically surface defects of steel slab products on-line and to control and improve the surface quality of the steel *** is a very complex *** this paper,we introduce some machine vision techniques to detect and identify defects from the steel slab *** adaboost based machine leaming method is proposed to detect defects from steel slab *** is usually able to remove pseudo-defects.A directional detector based on wavelet transformation is used to detect directional structural crack feature from the complex steel slab surface.A saliency based method combining elastic threshold method and Gabor wavelet filter is used to detect crack from the steel slab *** results show the effectiveness of these methods.
As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of li...
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As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of linked data is to enable people to share structured data on the web as easily as they can share documents today. On the Web of data structured with linked data, users can jump from one dataset to another. Compared with the Web of document which enables one to jump from one document to another, data Web provides much more links and has semantics. Mapping relational databases to RDF is a fundamental problem for the development of linked data. This paper firstly makes an improvement with R2RML to open source software named D2R which can publish linked data, and then takes an example of the data concerning a college enrollment in Sichuan of China in 2011, demonstrating that we can publish the data in RDB into RDF as linked data through the new approach more efficient and make it browsable.
Motion artifacts of digital subtraction angiography (DSA) are usually corrected by image registration. image registration is the process of transforming different sets of feature points into one coordinate system. Mis...
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This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determin...
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ISBN:
(纸本)9781479914920
This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determine the vehicle ego motion based on static scene features then we determine the relative motion between objects based on features situated on the moving objects. For robustness to false feature matches everything is plugged into a multi-RANSAC framework. The novelty of the method consist in the fact that the relative motion between the objects can be determined with the same algorithm that was previously used for ego motion estimation, the only difference consisting in the geometric constraints that are imposed to the subset of point features considered for inliers set detection and evaluation. Also, the proposed method does not rely on the fact that objects are detected previously and it does not detect the objects.
An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relation...
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