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Object contour tracking using multi-feature fusion based particle filter

Object contour tracking using multi-feature fusion based par...

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2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012

作者： Lu, Xiaofeng Song, Li Yu, Songyu Ling, Nam Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China Department of Computer Engineering Santa Clara University Santa Clara CA United States School of Communication and Information Engineering Shanghai University Shanghai China

ISBN: (纸本)9781457721175

In this paper, a novel object contour tracking framework integrating independent multi-feature fusion object rough location and region-based temporal differencing model is proposed. In our model, the object rough location tracking is realized by color histogram and Harris corner features fusion method in particle filter framework. Thus it can achieve more robust tracking performance in many challenge scenes. And this particle filter framework is based on our previous CamShift guided particle filter [7]. With the rough object location, efficient region-based temporal differencing model is adopted for object contour detection, then this method is faster and more effective compared to active contour models or conventional global temporal differencing models. Moreover, exact contour tracking result can be used to guide the particle propagation of next frame, to enable more efficient particle redistributions and reducing particle degeneration. Experimental results demonstrate that this proposed method is simple but effective in object location and contour tracking. © 2012 IEEE.

关键词： Bandpass filters

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Rapid shallow coastal coral reef mapping using the teardrop system

Rapid shallow coastal coral reef mapping using the teardrop ...

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OCEANS 2012 MTS/IEEE Hampton Roads Conference: Harnessing the Power of the Ocean

作者： Corpuz, Francis James Naval Jr., Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Computer Vision and Machine Intelligence Group Department of Computer Science University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Institutional Laboratory Mgmt Office Mapua Institute of Technology Intramuros Manila Philippines

ISBN: (纸本)9781467308298

We present a rapid shallow coastal reef mapping system using a previously developed inexpensive diver less video capture system coupled with a fast-image mosaicking technique, using an affordable GPS logging device. The system replaces the traditional manta tow system of assessing and monitoring large areas of coastal coral reefs and at the same time provides historical visual record for future references. The system utilizes Teardrop, a hollow, teardrop-shaped that houses a commercial underwater point-and-shoot camera. The camera is set to video mode and captures video of the reef while the Teardrop is being towed by a wooden fishing boat. The resulting video is parsed into frames and mosaicked by using fast image labeling. The approximate location of the mosaicked images is recorded by using an inexpensive GPS logger. The coordinates are embedded on the mosaicked images and overlaid on mapping software such as Google Earth for visual record and spatial information integration. The same points are used to compute for the total distance covered by the capturing process. The whole process from coral reef video capture to mosaicking the images and finally embedding the mosaics in mapping software can be done in as short as 1 day, providing coastal managers and local government units with a tool to rapidly visualize and monitor shallow coral reefs. © 2012 IEEE.

关键词： Mapping

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Coral reef mosaicking using Teardrop and Fast image Labeling

Coral reef mosaicking using Teardrop and Fast Image Labeling

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OCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities

作者： Corpuz, Francis James Naval, Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Department of Computer Science College of Engineering University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Special Projects Laboratory Mapua Institute of Technology Intramuros Manila Philippines

ISBN: (纸本)9781457720895

In this paper, we present an inexpensive system for diverless video capture and fast image stitching of image frames for rapid reef assessment of shallow coral reefs. Our system has two main components: 1) Teardrop, a boat-towable, winged hull apparatus designed to house a commercial digital camera, and 2) a mosaicking algorithm to stitch the coral reef video into mosaics for further appreciation and analysis. The captured reef video is then separated into image frames which are to be stitched sequentially using Fast image Labeling. The overlap between image frames is estimated using Single-Step DFT, an efficient sub-pixel estimation algorithm. The estimated overlap is used to compute for the area to be added to the mosaic space. The overlapping section between succeeding image-pairs are stitched along a seam determined by a minimal-cost path using dynamic programming. The visibility of the seam boundaries is further minimized by utilizing blending on multi-resolution splines. Experimental results on automated reef mosaics creation from actual coral reef video taken using Teardrop shows the performance of the system described. The main contribution of this work is the demonstration of a rapid reef visualization system using a diverless system and commercially available, non-research-grade imaging equipment. © 2012 IEEE.

关键词： Reefs

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Denoising Diffusion Tensor images with Shearlet

Denoising Diffusion Tensor Images with Shearlet

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2012 IEEE 11th International Conference on Signal processing(ICSP 2012)

作者： Xiangfen Zhang Bao-Liang Lu Yan Ma Xiaozhong Xu Fangfang Wei Wenjie Xu Institute of Intelligent Computing & Image Processing College of Mechanical and Electronic EngineeringShanghai Normal University Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and EngineeringShanghai Jiaotong University MOE-Microsoft Key Lab for Intelligent Computing and Intelligent Systems Shanghai Jiao Tong University

ISBN: (纸本)9781467321969

Diffusion tensor imaging （DTI） is known to be the best non-invasive imaging modality in providing anatomical information as white-matter fiber bundles. However, the Gaussian noise introduced into the diffusion tensor images can bring serious impacts on tensor calculation and fiber tracking. To decrease the effects of the Gaussian noise, many denoising methods have been presented. In this paper, a shearlet based denosing strategy is introduced. To evaluate the efficiency of the proposed shearlet based denoising method in accounting for the Gaussian noise introduced into the images, the peak to peak signal-to-noise ratio （PSNR）, signal-to-mean squared error ratio （SMSE） and edge keeping index （Beta） metrics are adopted. The experiment results acquired from both the synthetic and real data indicate the good performance of our proposed filter.

关键词： diffusion tensor imaging shearlet transform wavelet transform PSNR SMSE denoising

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Asynchronous extended spiking neural P systems with astrocytes

Asynchronous extended spiking neural P systems with astrocyt...

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12th International Conference on Membrane Computing, CMC 2011

作者： Pan, Linqiang Wang, Jun Hoogeboom, Hendrik Jan Image Processing and Intelligent Control Key Laboratory of Education Ministry Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China Leiden Institute of Advanced Computer Science Universiteit Leiden Niels Bohrweg 1 2333 CA Leiden Netherlands

ISBN: (纸本)9783642280238

A variant of spiking neural P systems was recently investigated by the authors, using astrocytes that have excitatory and inhibitory influence on synapses. In this work, we consider this system in the non-synchronized (i.e., asynchronous) mode: in any step, when a neuron is enabled, it is not obligatorily fired, making a global clock dispensable. It is proved that asynchronous spiking neural P systems with astrocytes are universal (when using extended rules). The construction is uniform in the sense that the form of the modules used is independent of the simulated register machine. © 2012 Springer-Verlag.

关键词： Artificial intelligence

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Orthogonal matching pursuit for VHR image reconstruction

Orthogonal matching pursuit for VHR image reconstruction

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Luca Lorenzi Farid Melgani Grégoire Mercier Department of Information Engineering and Computer Science University of Trento Trento Italy Image and Information Processing Department Institute Telecom TELECOM Bretange Brest France

ISBN: (纸本)9781467311601

Reconstructing missing data in very high resolution (VHR) multispectral images represents a complex image processing challenge. In this paper, we propose a new method for the reconstruction of areas obscured by clouds. It is based on compressive sensing (CS) theory, which allows to find sparse signal representations in underdetermined linear equation systems. In particular a common CS solution is adopted for our reconstruction problem: the orthogonal matching pursuit (OMP) method. To illustrate the performances of the proposed method, a through experimental analysis on FORMOSAT-2 multispectral images is reported and discussed. It includes a simulation study and a comparison with a state-of-the-art technique for cloud removal.

关键词： image reconstruction Matching pursuit algorithms Clouds Magnetic resonance imaging PSNR Dictionaries Compressed sensing

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Frequency saving OFDMA resource allocation with QoS provision

Frequency saving OFDMA resource allocation with QoS provisio...

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6th International ICST Conference on Wireless Internet, WICON 2011

作者： Ru, Guanying Li, Hongxiang Lu, Yanhui Cheng, Yong Lin, Weiyao Electrical and Computer Engineering Department North Dakota State University Fargo ND United States Electrical and Computer Engineering Department University of Louisville Louisville United States Zhengzhou University Zhengzhou China University of California Davis CA United States Communication Systems Group Institute of Telecommunications Darmstadt University of Technology Darmstadt Germany Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9783642304927

With the increasing wireless communication demands, frequency spectrum has become more and more limited and expensive. This paper proposes a novel optimization objective: minimizing the required frequency resource, on the premise that both the power constraints and users' quality of service (QoS) demands can be met. With the frequency saving objective, the primary system can release the unnecessary frequencies for other applications, such as subordinate or cognitive networks. In this paper, we formulate the number of subcarriers minimization problem for both uplink and downlink OFDMA-based networks, which is a mixed NP-hard problem. For the downlink case, we propose an efficient near-optimal algorithm to solve the problem. For the uplink case, we derive low complexity greedy algorithms to obtain tight lower bound and upper bound. Simulation results show that our algorithms can significantly save the system's frequency resource. © 2012 ICST institute for computer Science, Social Informatics and Telecommunications Engineering.

关键词： Quality of service

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Mobile TV with Long Time Interleaving and Fast Zapping

Mobile TV with Long Time Interleaving and Fast Zapping

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Cornelius Hellge Valentina Pullano Manuel Hensel Giovanni E. Corazza Thomas Schierl Thomas Wiegand Image Communication Laboratory Berlin Institute of Technology Berlin Germany Multimedia Communications Group Image Processing Department Fraunhofer HHI Berlin Germany Department of Electronics Computer Science and Systems Faculty of Engineering University of Bologna Bologna Italy

The main challenge for provisioning of Mobile TV services is to overcome long burst errors as are often found in mobile reception conditions. Long time interleaving can be implemented by means of Application Layer FEC (AL-FEC) to increase the time diversity of the signal and thereby its robustness against burst errors. The main obstacle of long time interleaving for streaming services is the increase in service tune-in time, which significantly decreases the Quality of Experience (QoE) of end users. That is why today's Mobile TV systems are provisioned in a way to minimize the time interleaving length to provide an acceptable tune-in time, though the service robustness would significantly benefit from a longer interleaving length. This paper presents a new way of service provisioning that marries fast zapping and long time interleaving by combining Layer-Aware FEC and layered media codecs with unequal time interleaving and an appropriate transmission scheduling. The effect of the proposed scheme on the QoE as well as the service tune-in time is analyzed. Simulation results within a Gilbert-Elliot channel report the benefit of the proposed scheme, which for the first time enables broadcast services with fast tune-in and at the same time long time interleaving.

关键词： Forward error correction Static VAr compensators Media Streaming media Decoding Delay Robustness

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Infant cry analysis and detection

Infant cry analysis and detection

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IEEE Convention of the Electrical and ELectronic Engineers in Israel

作者： Rami Cohen Yizhar Lavner Signal and Image Processing Laboratory (SIPL) Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel Department of Computer Science Tel-Hai Academic College Upper Galilee Israel

In this paper we propose an algorithm for automatic detection of an infant cry. A particular application of this algorithm is the identification of a physical danger to babies, such as situations in which parents leave their children in vehicles. The proposed algorithm is based on two main stages. The first stage involves feature extraction, in which pitch related parameters, MFC (mel-frequency cepstrum) coefficients and short-time energy parameters are extracted from the signal. In the second stage, the signal is classified using the k-NN algorithm and is later verified as a cry signal, based on the pitch and harmonics information. In order to evaluate the performance of the algorithm in real world scenarios, we checked the robustness of the algorithm in the presence of several types of noise, and especially noises such as car horns and car engines that are likely to be present in vehicles. In addition, we addressed real time and low complexity demands during the development of the algorithm. In particular, we used a voice activity detector, which disabled the operation of the algorithm when voice activity was not present. A database of baby cry signals was used for performance evaluation. The results showed good performance of the proposed algorithm, even at low SNR.

关键词： Pediatrics Harmonic analysis Noise Feature extraction Mel frequency cepstral coefficient Detection algorithms Cepstrum

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Anisotropic range image integration

Anisotropic range image integration

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Joint 34th Symposium of the German Association for Pattern Recognition, DAGM 2012 and 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012

作者： Schroers, Christopher Zimmer, Henning Valgaerts, Levi Bruhn, Andrés Demetz, Oliver Weickert, Joachim Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University Saarbrücken 66041 Germany Computer Graphics Laboratory Department of Computer Science ETH Zurich Zurich 8092 Switzerland Max-Planck-Institut für Informatik Campus E1.4 Saarbrücken 66123 Germany Institute for Visualization and Interactive Systems University of Stuttgart Universitätsstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9783642327162

Obtaining high-quality 3D models of real world objects is an important task in computer vision. A very promising approach to achieve this is given by variational range image integration methods: They are able to deal with a substantial amount of noise and outliers, while regularising and thus creating smooth surfaces at the same time. Our paper extends the state-of-the-art approach of Zach et al.(2007) in several ways: (i) We replace the isotropic space-variant smoothing behaviour by an anisotropic (direction-dependent) one. Due to the directional adaptation, a better control of the smoothing with respect to the local structure of the signed distance field can be achieved. (ii) In order to keep data and smoothness term in balance, a normalisation factor is introduced. As a result, oversmoothing of locations that are seen seldom is prevented. This allows high quality reconstructions in uncontrolled capture setups, where the camera positions are unevenly distributed around an object. (iii) Finally, we use the more accurate closest signed distances instead of directional signed distances when converting range images into 3D signed distance fields. Experiments demonstrate that each of our three contributions leads to clearly visible improvements in the reconstruction quality. © 2012 Springer-Verlag.

关键词： computer vision

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