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检索条件"主题词=detection Algorithms"

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Still image copy detection algorithm robust to basic image modifications

Still image copy detection algorithm robust to basic image m...

引用

International Symposium on Electronics in Marine (ELMAR)

作者： Karol Wnukowicz Grzegorz Galinski Ruben Tous Institute of Radioelectronics Warsaw University of Technology Warsaw Poland Computer Architecture Department Universitat Poliltècnica de Catalunya Barcelona Spain

ISBN: (纸本)9781424433643

The paper presents a method for content based still-image replica detection. This method uses a compact image signature which depends on image content and is invariant to many widely used image processing techniques, such as lossy compression, resizing, resampling, color enhancements and simple rotations. The signature is designed to be usable in big image database: it has small size (a few dozen bytes), the extraction is fast and the comparison of image signatures is very fast. More than million of image signatures per second can be compared on a modern PC. Usage of the method within a framework for digital rights infringements detection in the World Wide Web is also discussed.

关键词： detection algorithms Robustness Image processing Image coding Computer architecture Electronic mail Color Image databases Web sites Image retrieval

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An effective dissolve detection approach with temporal and spatial considerations

An effective dissolve detection approach with temporal and s...

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International Conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Wang Yao Guangtao Zhai Jianfei Cai School of Computer Engineering Nanyang Technological University Singapore

Dissolves are the basic artificial effects of gradual transitions in video sequences, which are widely used in TV programs and movies. Through dissolve detection, interesting and important video temporal segments can be easily located and indexed for various applications. In this paper, we present an effective dissolve detection algorithm, which takes into account the dissolve properties in both temporal and spatial domains. In particular, in the temporal domain, we use frame difference to capture the dissolve characteristics. In the spatial domain, the central area is given bigger weight than the four sides. Experimental results show a good performance of our proposed algorithm.

关键词： Layout detection algorithms Video compression Robotics and automation Video sequences Gunshot detection systems Machine learning algorithms Image coding Automatic control Robot control

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CFAR robust detection of moving target in presence of fluctuating background

CFAR robust detection of moving target in presence of fluctu...

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International Conference on Mathematical Methods in Electromagnetic Theory (MMET)

作者： V. Golikov A. Castillejos O. Lebedeva V. Ponomaryov M. Cruz-Irisson Autonomous University of Carmen Campeche Mexico National Polytechnic Institute of Mexico ESIM ESIME Culhuacan-IPN Mexico National Polytechnic Institute of Mexico ESIM ESIME Culhuacan-IPN Mexicali Distrito Federal Mexico

The paper describes the techniques for the autonomous detection of moving targets by processing a sequence of sensor imageries in remote sensing applications. Two detection algorithms, which do not need a matrix inversion, are developed by extension of Hotellingpsilas principal-component method showing excellent performance and robustness. The detection of small, barely discernible, moving objects in presence of correlated fluctuating background and unknown background intensity are presented and tested experimentally.

关键词： Clutter Pixel detection algorithms Detectors Correlation Mathematical model Robustness

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Randomized Trees for Human Pose detection

Randomized Trees for Human Pose Detection

引用

26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008), vol.7

作者： Gregory Rogez Jonathan Rihan Srikumar Ramalingam Carlos Orrite Philip H. S. Torr Computer Vision Lab-I3A University of Zaragoza Spain Department of Computing Oxford Brookes University UK

This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the availability of clean segmentation. The first step of this work consists in a novel method of aligning the training images using 3D Mocap data. Next we define classes by discretizing a 2D manifold whose two dimensions are camera viewpoint and actions. Our main contribution is a pose detection algorithm based on random forests. A bottom-up approach is followed to build a decision tree by recursively clustering and merging the classes at each level. For each node of the decision tree we build a list of potentially discriminative features using the alignment of training images;in this paper we consider Histograms of Orientated Gradient (HOG). We finally grow an ensemble of trees by randomly sampling one of the selected HOG blocks at each node. Our proposed approach gives promising results with both fixed and moving cameras.

关键词： Humans Computer vision Cameras detection algorithms Decision trees Histograms Detectors Shape Motion detection Video sequences

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Road detection using segmentation by weighted aggregation based on visual information and a posteriori probability of road regions

Road detection using segmentation by weighted aggregation ba...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： T.T. Son S. Mita A. Takeuchi Department of Electronics and Information Toyota Technological Institute Nagoya Japan

In this paper, a road detection method based on an image segmentation algorithm is presented. Road detection process is a key issue for an autonomous driving system in urban environment. Image-based road detection algorithm is applied on sources of visual information recorded by cameras when our car is running on road. Our method combines a posteriori probability and visual information for image segmentation. The method is composed of two steps. Firstly, a road identifier is trained with supervised learning algorithm. Secondly, road regions are detected by combining a posteriori probability and visual information using image segmentation algorithm. Experimental results are presented for road images in actual driving video acquired in urban areas.

关键词： Roads Image segmentation Laser modes Robustness detection algorithms Cameras Supervised learning Urban areas Surface texture Image edge detection

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Boundary matching based translucent TV logo detection

Boundary matching based translucent TV logo detection

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IEEE Signal Processing and Communications Applications (SIU)

作者： Tugrul K. Ates Ersin Esen Ahmet Saracoglu A. Aydin Alatan Elektrik ve Elektronik Mühendisliği Bölümü Orta Doğu Teknik üniversitesi Turkey TÜBİTAK Uzay Teknolojileri Araştırma Enstitüsü

Increasing trend in the usage of translucent television logos by broadcast channels renders opaque logo detection algorithms inadequate. Important applications such as identification of broadcast types make the detection of translucent logos a significant requirement. This paper presents a method for detecting translucent television logos in video streams. Firstly, boundary information of the logo, which will be searched in broadcast stream, is extracted manually. This search is carried out by comparing the edge map of the luminance channel of the interest region with inner and outer contours of the logo using different metrics. Performance is increased by utilization of temporal redundancies and solutions to special problematic cases. Furthermore, traces of the logo boundaries are examined in chrominance channels of video frames in order to eliminate false alarms caused by opaque logos with the same boundaries. Promising results indicate the applicability of the method in real life.

关键词： TV Streaming media Histograms Robustness Art Reactive power detection algorithms

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A detection algorithm for zero-quantized DCT coefficients in JPEG

A detection algorithm for zero-quantized DCT coefficients in...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jin Li Jarmo Takala Moncef Gabbouj Hexin Chen Department of Information Technology Tampere University of Technology Tampere Finland School of Communication Engineering Jilin University Changchun China

The discrete cosine transform (DCT) is widely used in image/video coding standards. However, since most DCT coefficients will be quantized to zeros, a large number of redundant computations are introduced. This paper presents an early detection algorithm to predict zero-quantized DCT coefficients for fast JPEG encoding. Based on the theoretical analysis for 2-D DCT and quantization in JPEG standard, we derive a sufficient condition under which each quantized coefficient becomes zero. Finally, the transform of the zero-quantized coefficients is omitted. Experimental results show that the proposed algorithm can significantly reduce the redundant computations and speed up the image encoding. Moreover, it doesn't cause any performance degradation. Computational reduction also implies longer battery lifetime and energy economy for digital applications.

关键词： detection algorithms Discrete cosine transforms Image coding Encoding Quantization Degradation Sufficient conditions Computational complexity Karhunen-Loeve transforms Portable computers

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Reliable interest point detection under large illumination variations

Reliable interest point detection under large illumination v...

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IEEE International Conference on Image Processing

作者： Murat Gevrekci Bahadir K. Gunturk Department of Electrical and Computer Engineering Louisiana State University Baton Rouge LA USA

Most interest point detection algorithms are highly sensitive to illumination variations. This paper presents a method to detect interest points robustly under large photometric changes. The method, which we call contrast invariant feature transform (CIFT), determines salient interest points in an image by calculating and processing contrast signatures. A contrast signature shows the response of an interest point detector with respect to a set of contrast stretching functions. The method is generic and can be used with most interest point detectors. In this paper, we demonstrate how CIFT improves the repeatability rate of the Harris corner detector.

关键词： Lighting Detectors Computer vision Autocorrelation detection algorithms Photometry Eigenvalues and eigenfunctions Histograms Robustness Feature extraction

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Minimization of Error in Pitch detection algorithm using Discrete Fractional Cosine Transform

Minimization of Error in Pitch Detection algorithm using Dis...

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Australasian Telecommunication Networks and Applications Conference, ATNAC

作者： Md. Kamrul Hasan Md. Lutful Kabir Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh

A novel Discrete Fractional Cosine Transform implementation for pitch estimation of noisy speech using dominant harmonic is introduced in this paper. The basic idea is to preprocess the speech signal with discrete fractional cosine transform before using the rectified dominant harmonic for signal reshaping. The performance of the proposed method is tested and compared with the latest previous method using Keele pitch extraction reference database. Comparative results show that the proposed method can detect pitch with better accuracy in terms of gross and fine pitch error as compared to the latest technique.

关键词： Minimization methods detection algorithms Discrete transforms Discrete cosine transforms Kernel Speech processing Signal processing algorithms Time frequency analysis Speech enhancement Speech coding

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Joint MAP detection for MIMO-OFDM Systems

Joint MAP Detection for MIMO-OFDM Systems

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IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Zhendong Luo Fan Yang Dawei Huang Institute of Communication Standards Research MII China Academy of Telecommunication Research CATR Beijing China School of Information Engineering Beijing University of Posts and Telecommunications Beijing China Bell Laboratories Research China Alcatel-Lucent Beijing China

In this paper, a joint maximum a posteriori (MAP) detection algorithm is proposed for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO- OFDM) systems. Without the need of estimating the channel state information (CSI), it can directly compute the a posteriori probability (APP) of the transmitted data and generate the detection results under the MAP criterion by efficient iterative processing. Based on the idea of list sphere decoding, we also present a fast searching algorithm to further reduce its complexity in the cases of large numbers of transmit antennas and high data rates. Computer simulation shows that even without the help of channel estimation, the proposed algorithm with a few iterations can approximately attain the performance of the optimal detector using the perfect CSI.

关键词： OFDM Iterative algorithms detection algorithms MIMO State estimation Channel state information Iterative decoding Transmitting antennas Computer simulation Channel estimation

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