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检索条件"主题词=detection algorithms"

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Robust detection of Corners and Corner-line Links in Images

Robust Detection of Corners and Corner-line Links in Images

引用

International Conference on Computer and Information Technology (CIT)

作者： Andres Solis Montero Milos Stojmenović Amiya Nayak School of Information Technology and Engineering University of Ottawa Ottawa Canada

We define corner points in an image as the intersections among detected straight line segments, and propose an algorithm that detects corners from such a definition. Our corner detection algorithm CLDC then makes use of the LDC (Line detection using Contours) algorithm from, which outputs the list of all detected line segments together with their endpoints. Each line segment is extended in a post-processing step. CLDC (Corners from LDC) then finds corners in O((n + I)log n) time, where n and I are the number of endpoints the intersections of line segments, respectively. Detected corners are linked via line segments that define them. Such an output of the corner detection algorithm is a novel concept. The algorithm is comparable in time complexity with other algorithms, while providing more information about the line segments in the image. CLDC is robust to image transformations, such as rotation and translations. Our CLDC is compared to some existing algorithm, and its advantages are demonstrated.

关键词： Image segmentation Pixel Image edge detection Junctions Detectors detection algorithms Complexity theory

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Analysis of multi-sensor radar detection based on the TBD-HT approach in ECM environment

Analysis of multi-sensor radar detection based on the TBD-HT...

引用

IEEE National Conference on Radar

作者： Chr. Kabakchiev V. Behar H. Rohling I. Garvanov V. Kyovtorov D. Kabakchieva Sofia University Sofia Bulgaria Institute for Parallel Processing Sofia Bulgaria Hamburg Technical University Hamburg Germany Institute for Information Technology Sofia Bulgaria

ISBN: (纸本)9781424458110;9781424458127

This paper describes in details the performance of an advanced detecting algorithm for multi-sensor target Track Before detection (TBD) through the Hough Transform (HT). The detection algorithm employs the idea of using the Hough Transform for joint detection of linear trajectory targets. The polar modification of the TBD-HT approach is applied to a multi-sensor Polar Hough detector for multi-sensor target/trajectory detection in ECM environment with a Stand-off-Jammer (SOJ). A CFAR detector is proposed for signal detection in the (r-t) space instead of fixed thresholding in order to enhance the target detectability in ECM environment. In this paper a centralized structure of a multi-sensor Polar Hough detector is considered. The expressions calculating the probability characteristics, i.e. the probability of target/trajectory detection and the false alarm probability, are analytically derived. The multi-channel TBD-HT detector probability characteristics are compared with those for the conventional signal processing.

关键词： Radar detection Electronic countermeasures Detectors Trajectory Probability Signal processing algorithms Radar tracking Target tracking detection algorithms Signal detection

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Adaboost Human detection Based on a DSP Platform

Adaboost Human Detection Based on a DSP Platform

引用

International Conference on Electrical and Control Engineering (ICECE)

作者： Xu Fen Li Jie College of Mech-electrical Engineering North China University of Technology Beijing China

Human detection is a task met in many applications such as surveillance & security, safe driving system, intelligent vehicles, etc.. It is more complicated compared to the detection of car and other targets, due to the variety of poses and external appearance of human bodies. This paper presents an adaboost human detection algorithm and its implementation on a DSP platform. The detector uses haar-like features as classifiers. A cascade of boosted classifiers is obtained after extensive training of hundreds of positive and negative samples. Experimental results with the adaboost human detection algorithm are presented in the paper.

关键词： Classification algorithms Humans Feature extraction Digital signal processing Training Instruction sets detection algorithms

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Approximate ML detection for MIMO-OFDM Systems Using Multistage Chase detection Algorithm

Approximate ML Detection for MIMO-OFDM Systems Using Multist...

引用

International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Tiejun Yang Hongliang Fu School of Information Science and Engineering Henan University of Technology Zhengzhou China

In recent publications, some special detectors were proposed to improve the performance and complexity gaps between the optimal detector and the suboptimal detector. In this paper, we propose a multistage chase detection algorithm for MIMO-OFDM systems, which use chase detection framework to design sub-detector, so the nest chase detection was implemented that can further decrease the error spread and improve the BER performance. Simulation results show that the proposed schemes performs better than BLAST and conventional chase detection, which can achieve near-ML performance with lower complexity compared with ML algorithm.

关键词： detection algorithms Detectors Complexity theory MIMO Transmitting antennas OFDM Bit error rate

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Mesh-to-Mesh Collision detection by Ray Tracing for Medical Simulation with Deformable Bodies

Mesh-to-Mesh Collision Detection by Ray Tracing for Medical ...

引用

International Conference on Cyberworlds

作者： Youngjun Kim Sang Ok Koo Deukhee Lee Laehyun Kim Sehyung Park Intelligence and Interaction Center Korea Institute of Science and Technology Seoul South Korea

We propose a robust mesh-to-mesh collision detection algorithm using a ray tracing method. The algorithm checks all vertices of a geometrical object based on the proposed criteria, and then the colliding vertices are detected. In order to realize a real-time calculation, acceleration by spatial subdivision is performed. Since the proposed ray-traced collision detection method can directly calculate the reacting forces between the colliding objects, this method is apt for a real-time medical simulation dealing with deformable organs. Our method addresses the limitation of the previous ray-traced approach as it can detect collisions between all arbitrarily shaped objects, including non-convex or sharp objects. Moreover, deeply penetrated collisions can be detected effectively.

关键词： Deformable models Computational modeling detection algorithms Surgery Real time systems Medical simulation Ray tracing

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Anticipation-Preprocessing for Object Pose detection

Anticipation-Preprocessing for Object Pose Detection

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Joint international symposium on robotics

作者： Matthias Palzkill Thomas Ledermann Alexander Verl Fraunhofer IPA Nobelstr. 12 70569 Stuttgart Germany

ISBN: (纸本)9781617387197

This paper shows a new approach to significantly improve the runtime behaviour of existing object pose detection algorithms. The idea of anticipation-preprocessing is to reduce possible object poses up to a minimum by limiting the solution space. The assumption is that a smaller solution space comes along with a much faster evaluation. Anticipation-preprocessing starts with the most obvious features of sensory input. The treatment of features takes gestalt law of organization [1] into account. Based on that, the procedure is to find new features and to keep recombining them. With the aid of the achieved feature sets a conclusion about a solution subspace can be drawn. Anticipation-preprocessing is inspired by human visual perception, whereof several theories exist. Comparing to one of the most famous by Marr [2], memorization influences the entire process of the new approach and not just the final matching. The new approach was tested with an object pose detection algorithm called Coherent-Distance-Characteristics (abbr.: CDC) [3]. CDC Object Pose detection is a view based approach which uses compact object description and still provides strong reliability. It has been originally developed for bin-picking applications by the authors. CDC works on spatial depth data. It was shown that the use of just one or two features already results in a runtime reduction of about 90 percent.

关键词： Feature extraction Runtime detection algorithms Three dimensional displays Robots Spatial databases Materials

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Improved NLMS based MMSE adaptive detection algorithm for IR-UWB systems

Improved NLMS based MMSE adaptive detection algorithm for IR...

引用

IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)

作者： Zhiping Cao Zaichen Zhang National Mobile Communications Research Laboratory South-East University Nanjing China

Several normalized least mean square (NLMS) based minimum mean square error (MMSE) adaptive detection algorithms have been proposed in recent years in order to mitigate the inter symbol interference (ISI) in the ultra wideband (UWB) systems. In this paper, we propose an improved NLMS (INLMS) based MMSE adaptive detection algorithm that can choose different step size adaptively and can solve the conflicting requirement of existing NLMS based algorithms. Simulation results show that bit error rate (BER) performance of the proposed algorithm is better than existing algorithms with the same training sequence length. Also when the training sequence length is longer than the steady state length of existing algorithms, the BER performance of the proposed algorithm can be improved by increasing the training sequence length which can't be achieved by existing algorithms.

关键词： Training Bit error rate Detectors detection algorithms Steady-state Adaptive systems Signal processing algorithms

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A Data detection Scheme for Single-Carrier Block Transmission Using Sphere Decoding Algorithm

A Data Detection Scheme for Single-Carrier Block Transmissio...

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IEEE Conference on Vehicular Technology (VTC)

作者： Ying-Tsung Lin Chia-Hsun Kuo Sau-Gee Chen Wai-Chi Fang Department of Electronics Engineering and Institute of Electronics National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781424425181;9781424425198

In this paper, an efficient sphere decoding algorithm (SDA) applied to solve the inter-symbol-interference (ISI) data detection problem is proposed. This proposed algorithm takes advantages of the SDA to obtain the solution close to ML solution with the simplified K-best tree search method for the ISI data detection under ISI effect. Compared with the frequency-domain MMSE or Zero-Forcing equalization techniques for SCBT (Single-Carrier Block Transmission) systems, this algorithm can perform at least 1.5dB better than frequency- domain equalizers under the environment of randomly generated channel impulse responses.

关键词： Decoding Intersymbol interference OFDM modulation Frequency domain analysis MIMO Decision feedback equalizers Transmitters Data engineering Search methods detection algorithms

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Applying data mining to false alarm reduction in an aviation explosives detection system

Applying data mining to false alarm reduction in an aviation...

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International Carnahan Conference on Security Technology

作者： Matthew Merzbacher Todd Gable Morpho Detection Newark CA USA

Data mining techniques were applied for the reduction of false positives in aviation explosives detection CT (computed tomography) imaging systems. An inductive post-detection classifier (PDC) was trained, implemented, and fielded. The PDC can only eliminate alarms generated from the existing detection system - it does not detect new alarms.

关键词： Correlation Classification algorithms Computed tomography Robustness Data mining detection algorithms Explosives

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Change detection and detailed analysis of stacking configuration of containers in TerraSAR-X SAR images

Change detection and detailed analysis of stacking configura...

引用

IEEE National Conference on Radar

作者： Terje Johnsen FFI Norwegian Defence Research Establishment Kjeller Norway

ISBN: (纸本)9781424458110;9781424458127

This paper analyses two SAR images recorded on different dates of the same container harbor. To understand the detailed structure and stacking order of different areas of the harbor, theoretical and model studies has been applied. These studies revealed the predominant scattering regions of container stacks. This knowledge is used to quantify stacking heights, orientation and steps in the container structure of the two TerraSAR-X SAR magnitude images. Calculations from a change detection algorithm provided an image that emphasized regions in the two where major changes to the stacking configuration were observed. Detailed analysis is focused on a few selected regions resulting in knowledge of numbers of containers moved and structure in the clusters.

关键词： Image analysis Stacking Containers Radar scattering Foot Satellites Data mining detection algorithms Marine vehicles Object detection

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