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Design and Implementation a real-time TV tracking System Based on TMS320DM642

Design and Implementation a real-time TV Tracking System Bas...

2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

作者： Shiqiang Li Tianding Chen Changhong Yu College of Information & Electronic Engineering Zhejiang Gongshang UniversityChina

ISBN: (纸本)9781424447749

This paper introduces a real-time TV tracking system which is based on DSP(DM642). It narrates the principle of hardware design and the structure of the hardware in detail. A fast median filter algorithm, which is the most novelty in the system, is used to achieve the image pre-processed. And the algorithm of centroid calculated and Gaussian-fitting predicting approach are used to track the target. The experiment proves that this system can obtain continuous and stable tracking effect when the target is moving and covered up.

关键词： DM642 TV tracking tracking algorithm Gaussian-fitting

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Graph Based Visual Object tracking

Graph Based Visual Object Tracking

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2009 ISECS International Colloquium on Computing, Communication, Control, and Management

作者： Zhou Guanling College of Automation of Beijing Union University Beijing, China Wang Yuping, Dong Nanping College of Automation of Beijing Union University Beijing, China

Object tracking is viewed as a two-class "oneversus-rest" classification problem, in which the sample distribution of the target is approximately Gaussian while the background samples are often multi-modal. Based on these special properties, we model the visual appearance via graph approach, which is a semi-supervised approach. The topology structure of graph is carefully designed to reflect the properties of the sample's distribution. The confidence of sample's label is computed via random walk with restart (RWR) . The primary advantage of our algorithm is that it keeps the appearance of object via semi-supervised method. Experimental results demonstrate that, compared with two state of the art methods, the proposed tracking algorithm is more effective, especially in dynamically changing and clutter scenes.

关键词： visual object tracking algorithm semi-supervised method multi-modal

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Robust Coordinated Motion Planning for UGV/UAV Agents in Disturbed Environment 8

Robust Coordinated Motion Planning for UGV/UAV Agents in Dis...

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8th International Conference on Modelling, Identification and Control (ICMIC)

作者： Ferrag, Abdelmoumen Oussar, Abdelatif Guiatni, Mohamed Ecole Mil Polytech Control Lab Bordj El Bahri Algeria

ISBN: (纸本)9780956715777

In this paper, a coordinated motion of two types of heterogeneous robots, namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. The UGV plays the role of a leader for the UAV. While UGV tracks a predefined geometric path, the UAV is supposed to track the UGV. A robust controller based on integral sliding mode is designed to solve the tracking problem in the presence of input saturations and of the unknown disturbances, and tracking controller algorithm is considered for UAV to track the UGV. Simulations results are presented in order to evaluate the performances of the proposed approach.

关键词： coordinated motion UAV UGV robust control tracking algorithm

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A Selectable Imaging Spectrum Vehicle Recognition Method based on Spectral Feature 2

A Selectable Imaging Spectrum Vehicle Recognition Method bas...

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2nd Target Recognition and Artificial Intelligence Summit Forum

作者： Zhu, Xiao-qiang Li, Zi-jian Zhao, Wei-hong Li, Jiao-yang Liang, Hao-wen Li, Xi-ying Cai, Zhi-gang Wang, Jia-hui Sun Yat Sen Univ Sch Phys State Key Lab Optoelect Mat & Technol Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Sch Engn Guangdong Prov Key Lab Intelligent Transportat Sy Guangzhou 510006 Guangdong Peoples R China Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781510636323

Vehicle recognition is a key issue of intelligent transportation systems. For traditional color-based vehicle recognition methods, an important problem is that color information of vehicle is susceptible on lumination variation, which will inevitably reduce the recognition accuracy. Another is that there are contrastive interfering vehicles with similar color in same exposure environment, which could result in misrecognition of target vehicle. This paper presents a novel technique for recognizing target vehicle in different lumination scenarios via spectral feature. This method consists of three parts, ambient light spectrum calibration, vehicle spectral reflectivity detection and vehicle recognition. And an prototype system named Selectable Imaging Spectrum Detection System (SISDS), has been setup by this spectral feature-based method. A new combination algorithm is proposed for the detection part which contains the deep learning model YOLOv3 and the discriminant tracking algorithm KCF. Also, a CNN model is designed for improving the recognition accuracy through transforming the spectral data into two-dimension matrix. The experimental results of the SISDS clearly demonstrate that the spectral feature-based method overcomes the shortcomings of the traditional color-based method, and it can not only distinguish the vehicles of different colors in the case of overexposure, but also can recognize the target vehicle from the same color interference vehicles under various lumination, the recognition accuracy is up to 96.4%. Compared with colorbased method, the spectral feature-based method has great lamination robustness, and high recognition accuracy.

关键词： spectrum detection vehicle detection tracking algorithm convolutional neural network

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3-D high-density strain mapping procedure based on high-resolution CT

3-D high-density strain mapping procedure based on high-reso...

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5th International Conference on Processing and Manufacturing of Advanced Materials

作者： Kobayashi, Masakazu Toda, Hiroyuki Ohgaki, Tomomi Uesugi, Kentaro Wilkinson, David S. Kobayashi, Toshiro Kawai, Yuji Aoki, Yoshirnitsu Toyohashi Univ Technol Dept Prod Syst Engn Toyohashi Aichi 4418580 Japan Japan Synchrotron Radiat Res Inst Hyogo 6795198 Japan McMaster Univ Dept Mat Sci & Engn Hamilton ON L8S 4L7 Canada Shibaura Inst Technol Dept Informat Engn Saitama 3378570 Japan

ISBN: (纸本)9780878494286

A tracking procedure for the high-resolution X-ray computed tomography (CT) has been developed in order to measure 3-D local strain within a deforming material in high-density. A dispersion-strengthened copper alloy model sample with alumina particles, which contains micropores, was visualized by the synchrotron radiation CT. The pores observed in reconstructed CT volumes were used as tracking markers. The developed tracking method using a set of matching parameters, which classifies matched, pended and rejected markers, exhibited high ratio of success tracking. Furthermore, the ratio was improved by applying the spring model method, which is one of the particle image velocity (PIV) methods utilized in the field of the fluid mechanics, to the pended markers. The method based on the image analysis of CT imaging volumes provides us 3-D high-density strain mapping.

关键词： tracking algorithm interior strain local strain synchrotron radiation computer tomography 3-D observation 3-D image analysis

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Tropical cyclogenesis and its relation to interactions between African easterly waves and mesoscale convective systems

Tropical cyclogenesis and its relation to interactions betwe...

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作者： Nunez Ocasio, Kelly PennState University Libraries

学位级别：Doctor of Philosophy

Tropical cyclogenesis remains a challenging research topic, in part due to the limited understanding of the interactions between the mesoscale processes and the TC-seedling synoptic-scale vortex. The interactions between African easterly waves (AEWs) and mesoscale convective systems (MCSs) over Africa and east Atlantic and how they pertain to the formation of tropical cyclone (TCs) are documented. First, an algorithm that objectively tracks MCSs over Africa is developed to analyze the morphology and climatology of these systems over Africa. It is shown that realistic MCS propagation over Africa is attained when the tracker accounts for the African Easterly Jet (AEJ) mean background flow in which the MCSs propagate *** an MCS dataset in place, a climatology AEW-MCS dataset is developed to perform a wave-relative analysis of AEW-MCS systems over Africa and over the Main Development Region. It is found that the MCSs of developing AEW-MCS systems (those that develop into TCs) are more likely to be in phase with and propagate at the same speed as the AEW trough. In contrast, the MCSs of non-developing AEW-MCS systems are more likely to be positioned south of the AEW trough and do not necessarily propagate at the same speed. In addition, it is found that developing AEWs over West Africa are associated with a larger number of Convective Cloud Clusters (CCCs; squall line-type systems) than non-developing AEWs. Over West Africa, the fraction of extremely large MCS areas associated with developing AEWs is larger than for non-developing AEWs. These findings support the notion that both the position of moisture and latent heating relative to the AEW trough are essential for *** the synoptic-scale, significant differences between developing and non-developing AEWs are identified over eastern Africa (region of AEW onset) that can inform tropical cyclogenesis prediction. TC precursors when compared to non-developing AEWs experience: anomalously active West African

关键词： Africa Mesoscale systems Waves atmospheric Cyclogenesis/cyclolysis Africa Mesoscale convective systems African easterly waves Tropical cyclogenesis tracking algorithm West African monsoon satellite imagery infrared observations

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Quantifying right ventricular motion and strain using 3D cine DENSE MRI

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Journal of Cardiovascular Magnetic Resonance 2011年第SUPPL 1期13卷 M3-M3页

作者： Auger, Daniel A Zhong, Xiaodong Meintjes, Ernesta M Epstein, Frederick H Spottiswoode, Bruce S University of Cape Town Cape Town South Africa MR R&D Collaborations Siemens Medical Solutions Atlanta GA United States University of Virginia Charlottesville VA United States

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Development of a CMOS pixel based inner tracker for the BES-III experiment at BEPC-II

Development of a CMOS pixel based inner tracker for the BES-...

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作者： Qingyuan Liu UNIVERSITE DE STRASBOURG

学位级别：博士

The thesis addresses the upcoming particle physics programme foreseen at the Beijing Electron Positron Collider II (BEPCII), for which the Beijing Electron Spectrometer III (BESIII) is being upgraded. The work presented focused on the upgrade of the central tracker of the experiment by exploring the possibilities offered by a new approach using CMOS Pixel Sensors (CPS) instead of the present gas drift chamber. The MDC inner chamber of BESIII suffers from ageing effects which lead to performance degrading in terms of detection efficiency, momentum resolu- tion and spatial resolution. From the analysis in 2013, the efficiency of the MDC inner cell could be around 70% and its spatial resolution degraded from ∼ 120µm to ∼ 300µm in the worst case. This ageing effect would prevent BE- SIII from collecting the foreseen data sample and decrease the precision of the measurements. The collaboration decided therefore to upgrade the original in- ner chamber with a newly designed one or with a tracker using more advanced technology. The project of a Silicon Pixel Tracker (SPT) was proposed in this perspective. Two issues in SPT development have been studied: a low material budget of a long ladder and the detecting geometry optimization. CPS prototypes using large pixel pitches and an improved rolling-shutter readout architecture have been tested and studied to validate the sensor performance of a spatial resolution ∼ 10 µm, an integration time ∼ 20.8 µs and a power consumption around 80 mW/cm 2. Therefore, the materials from cooling system are limited to guarantee the low material budget of the ladder. For tracker optimiza- tion, a general method and the related software based on tracking algorithms, numerical geometry scans and Geant4 Monte-Carlo simulations, has been de- veloped and applied for BESIII SPT. The total number (3) of ladders and the tracker layout with a uniform spacing have been determined for the opti- mal momentum measurement for a sensor spatial resolution ∼10

关键词： pixel detector tracker optimization CPS test tracking algorithm

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Wavelet transform based facial feature points detection 14

Wavelet transform based facial feature points detection

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14th International Multi-Conference on Systems, Signals & Devices (SSD)

作者： Maaoui, Choubeila Abdat, Faiza Pruski, Alain Lorraine Univ LCOMS Metz France

ISBN: (纸本)9781538631751

In this paper, we focus our attention on the detection and tracking feature points algorithm for video sequence environment. For face image extraction, modified face detector based on Haar-like features is used. For feature points detection, we develop a new method based on the wavelet decomposition. For more accuracy, good features can be identified using Shi and Thom asi alogorithm around the detected points. Pyramidal Lucas-Kanade algorithm is used to track those points. Results show that our method extracts facial features points from video's sequence with a good accuracy.

关键词： facial expression facial feature extraction tracking algorithm wavelet transform

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Comparison of Different tracking Approaches on Pre-Fused Data for Automotive Perception System

Comparison of Different Tracking Approaches on Pre-Fused Dat...

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International Symposium on Computational Intelligence and Informatics

作者： László Lindenmaier Viktor Tihanyi Budapest University of Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Budapest Hungary

ISBN: (数字)9781728156255

ISBN: (纸本)9781728156262

The development of autonomous vehicles requires different sensor types for constructing an accurate local environment model. The evolution of sensor technology is challenging the development of sensor data fusion. Although, the sensors are getting more robust and reliable. However, because of the development of sensors the data fusion should be able to handle diversified sensor clusters. Thus, the high-level sensor fusion algorithms, like track to track method, are getting more important. This paper introduces different tracking approaches, which are intended to support a track-to-track fusion method of an autonomous vehicle in highway situations.

关键词： Autonomous vehicles Automotive perception Sensor Fusion Track-to-track fusion tracking algorithm Data association JIPDA Autonomous Vehicles Sensor fusion data association Sensor data fusion Sensors sensor technology Data fusion

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