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Efficient Approach for Face Detection in Video Surveillance

Journal of Donghua University(English Edition) 2003年第4期20卷 52-55页

作者：宋红石峰 Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.

关键词： face detection skin-color segmentation BPNN frame difference region growing

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Uniform trigonometric polynomial B-spline curves

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Science in China(Series F) 2002年第5期45卷 335-343页

作者：吕勇刚汪国昭杨勋年 1. Institute of Computer Graphics and Image Processing Department of Mathematics Zhejiang University 310027 Hangzhou China

This paper presents a new kind of uniform spline curve, named trigonometric polynomial B-splines, over space Ω = span{sini,cost, tk-3,tk-4, …,t, 1} of which k is an arbitrary integer larger than or equal to 3. We show that trigonometric polynomial B-spline curves have many similar properties to traditional B-splines. Based on the explicit representation of the curve we have also presented the subdivision formulae for this new kind of curve. Since the new spline can include both polynomial curves and trigonometric curves as special cases without rational form, it can be used as an efficient new model for geometric design in the fields of CAD/CAM.

关键词： C-curves uniform B-splines C-B-splines trigonometric polynomial B-splines.

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Analytic reduction of the Kruppa equations

Analytic reduction of the Kruppa equations

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24th German Association for Pattern Recognition Symposium, DAGM 2002

作者： Canterakis, Nikos Albert-Ludwigs-Universität Freiburg Computer Science Department Institute for Pattern Recognition and Image Processing FreiburgD-79110 Germany

ISBN: (纸本)354044209X

Given the fundamental matrix between a pair of images taken by a nonstationary projective camera with constant internal parameters, we show how to use the two independent Kruppa equations in order to explicitly cut down the number of parameters of the Kruppa matrix KKT by exactly two. Thus, we derive a procedure which results in a closed formula for the Kruppa matrix that depends on exactly three remaining parameters. This formula allows an easy incorporation of the positivity constraint and admits of an interpretation in terms of the image of the horopter. We focus on the general case where the camera motion is unknown and not restricted to some special type. Solutions of the Kruppa equations given three fundamental matrices have been attempted in the past by iterative numerical methods that are searching in multidimensional spaces. As an application of the reduced Kruppa matrix mentioned above we also outline how this problem can be analytically reduced to the determination of the real, positive roots of a polynomial of 14-th degree in one variable. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Matrix algebra

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Resampling routine on heterogeneous networked-based environment

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Journal of the Indian Society of Remote Sensing 2002年第1-2期30卷 7-13页

作者： Gupta, P. Khanna, V. Onong, T. Rao, Thirunadha Dube, N. Dhar, D. Ramakrishnan, R. Majumder, K.L. Department of Computer Science and Engineering Indian Institute of Technology Kanpur - 208016 India Image Processing and Data Product Group Space Applications Centre Ahmedabad - 380 053 India

In this paper, we have described a model to parallelize the resampling routine, which is used in the geometric correction of data provided by remote sensing satellites. Our model is a typical master-slave model consisting of N machines termed as hosts out of which one is designated as the master. The input image data resides on the master. processing of the input image data is done in parallel on the N machines. Issues related to load-balancing and various error conditions that may occur during execution like one of the machines going down have been studied and are incorporated in the model. It also provides the flexibility to add or delete the hosts during the execution of the resampling routine. The serial version of this routine involves huge amount of computations and takes substantial amount of time even for an image of 473 MB. We have implemented our model with the help of PVM which is most often used in distributed computing environment. Our approach has been tested for geometric correction on LISS-III 4 band data of size 473 MB. It is found that if one uses 2. 3 or 4 hosts the overall execution time is reduced by 33%, 42% and 49%, respectively.

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Hierarchical primitives based contour matching

Hierarchical primitives based contour matching

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24th Symposium of the German Pattern Recognition Association, DAGM 2002

作者： Zhang, Xiaofeng Burkhardt, Hans Orbotech-Schuh GmbH Co. and KG Bad-Pyrmont D-31812 Germany Department of Pattern Recognition and Image Processing Institute of Computer Science Faculty of Applied Science Freiburg Germany

ISBN: (纸本)354044209X

An algorithm for contour matching is presented in this paper. It is implemented in two steps: firstly, bottom-up, corners are matched, the matched corner points guide line segment matching, and then the matched line segments guide contour matching. Line segments are grouped with the signature function defined in [10] from the extracted contours ofimage pairs. Secondly, top-down, with the computed signature functions of the matched contours, the contour points are corresponded by modifying the initial matching from line segments. The novelty ofour approach is that (1) features are incorporated, and the matching is implemented in two steps (bottom-up and top-down), thus dense correspondences along contours are acquired. Disadvantages such as the sparseness from only point correspondences, the inaccuracies from only line correspondences, and feature loss of correspondences along epipolar lines are avoided;(2) unlike the conventional way ofmatching along epipolar lines after rectification, signature functions developed in [10] are used to characterize the contours so that the matching is implemented along contours. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Contour measurement

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Head detection and localization from sparse 3D data

Head detection and localization from sparse 3D data

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24th German Association for Pattern Recognition Symposium, DAGM 2002

作者： Clabian, Markus Rötzer, Harald Bischof, Horst Kropatsch, Walter Advanced Computer Vision GmbH Donau City Str.1 ViennaA-1220 Austria Institute for Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 GrazA-8010 Austria Pattern Recognition and Image Processing Group Institute of Computer Aided Automation Computer Science Department Vienna University of Technology Favoritenstr. 9 ViennaA-1040 Austria

ISBN: (纸本)354044209X

Head detection is an important, but difficult task, if no restrictions such as static illumination, frontal face appearance or uniform background can be assumed. We present a system that is able to perform head detection under very general conditions by employing a 3D measurement system namely a structured light distance measurement. An algorithm of head detection from sparse 3D data (19x19 data points) is developed that reconstructs a 3D surface over the image plane and detects head hypotheses of ellipsoidal shape. We demonstrate that detection and rough localization is possible in up to 90% of the images. © Springer-Verlag Berlin Heidelberg 2002.

关键词： computers

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Supervised training based hand gesture recognition system

Supervised training based hand gesture recognition system

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作者： Licsár, Attila Szirányi, Tamás University of Veszprém Department of Image Processing and Neurocomputing Egyetem u. 10 H-8200 Veszprém Hungary Analogical and Neural Computing Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest Hungary

We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human computer Interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification, of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. In this paper, besides describing the recognition itself, we demonstrate our interactive training method in a practical application. © 2002 IEEE.

关键词： Gesture recognition

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Error analysis of the pruned multi-angle resolution beamformer

Error analysis of the pruned multi-angle resolution beamform...

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IEEE Digital Signal processing Workshop

作者： Yeo-Sun Yoon L.M. Kaplan J.H. McClellan Center for Signal and Image Processing School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA CTSPS Department of Engineering Clark Atlanta University Atlanta GA USA

ISBN: (纸本)0780381165

Recently, we proposed the pruned fast beamformer that is able to detect coherent signals during beamforming. The fast beamformer is a multistage approximation to delay and sum beamforming. Using a coherent signal detector, the pruned fast beamformer is able to reduce the computational load by eliminating processing to resolve steering directions that do not contain a target-like source. This paper analyzes the performance of the detector and discusses how approximation errors in the fast beamformer effects detection performance. The results indicate that the coherence detectors is effective under the approximation errors.

关键词： Error analysis Array signal processing Sensor arrays Signal processing Detectors Approximation error Signal resolution Signal detection Delay Performance analysis

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Supervised training based hand gesture recognition system

Supervised training based hand gesture recognition system

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International Conference on Pattern Recognition

作者： A. Licsar T. Sziranyi Department of Image Processing and Neurocomputing University of Veszprém Veszprem Hungary Analogical & Neural Computing Laboratory Computer & Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary

We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for human computer interaction purposes. Our appearance-based recognition uses modified Fourier descriptors for the classification of hand shapes. As always found in literature, such recognition systems consist of two phases: training and recognition. In our new practical approach, following the chosen appearance-based model, training and recognition is done in an interactive supervised way: the adaptation for untrained gestures is also solved by hand signals. Our experimental results with three different users are reported. Besides describing the recognition itself we demonstrate our interactive training method in a practical application.

关键词： Shape Character recognition image processing Laboratories Automation Human computer interaction Application software Control systems Virtual environment Cameras

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System for automatic registration of remote sensing images

System for automatic registration of remote sensing images

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： D. Fedorov L.M.G. Fonseca C. Kenney B.S. Manjunath Image Processing Division National Institute of Space Research (INPE) Sao Paulo Brazil Department of Electrical and Computer Engineering University of California슠Santa Barbara Santa Barbara CA USA

Describes a system for automatic and semi-automatic registration/mosaic of remote sensing images. Information provided by the user can be used to speed up processing or to avoid mismatched control points. A statistical procedure is used to characterize good and bad registrations. Based on this "good fit-bad fit" statistical test the user can stop, modify the parameters, or continue the processing. Several tests have been performed by registering optical, radar, multi-sensor, high-resolution images and video sequences. We have included very difficult image registration examples in order to show the strengths and limits of our system. An online registration system demo containing several examples can be executed using a Web browser.

关键词： Remote sensing image processing image edge detection Automatic control image registration Wavelet transforms image sensors Optical sensors Testing Laser radar

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