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检索条件"任意字段=Conference on Pattern Recognition and Tracking XXVIII"

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Mask Size Independent and Orientation Invariant Object Finding 28

Mask Size Independent and Orientation Invariant Object Findi...

引用

conference on Automatic Target recognition xxviii

作者： Li, Bing C. Lockheed Martin 1801 State Route 17CMD0315 Owego NY 13827 USA

ISBN: (数字)9781510618084

ISBN: (纸本)9781510618084

Finding an object in images with orientation invariance has many applications in computer vision and pattern recognition. Template matching is a typical approach for finding objects. However, template matching requires pixel additions and multiplications on each pixel in a template and for each pixel in images, which involves a significant amount of pixel operations. Many techniques have been investigated to reduce the computational cost including FFT techniques, partial illumination approaches, and coarse to fine methods. These techniques may work for finding objects with the same orientation. However, when the object orientation in templates is different from the orientation in images, the computational cost is prohibitive even for the latest fast template matching techniques. In this paper, by combining the ideas of moment invariants in pattern recognition, Green theorem from physics and Bresenham line algorithm from computer graphics, we propose a mask size independent and orientation invariant object finding technique. From theoretical analysis and experiments, we demonstrate that this new technique significantly reduces computational cost for orientation free object finding from 0((NM2)-M-3) of the direct implementation to 0(N-2)

关键词： Algorithms Algorithm development Distortion pattern recognition Visualization Computer vision technology Detection and tracking algorithms Lithium Machine vision Physics

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All Optical Logic for Optical pattern recognition and Networking Applications 28

All Optical Logic for Optical Pattern Recognition and Networ...

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conference on pattern recognition and tracking xxviii

作者： Khoury, Jed Lartec Inc Sudbury MA 01776 USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

In this paper, we propose architectures for the implementation 16 Boolean optical gates from two inputs using externally pumped phase-conjugate Michelson interferometer. Depending on the gate to be implemented, some require single stage interferometer and others require two stages interferometer. The proposed optical gates can be used in several applications in optical networks including, but not limited to, all-optical packet routers switching, and all-optical error detection. The optical logic gates can also be used in recognition of noiseless rotation and scale invariant objects such as finger prints for home land security applications.

关键词： Optical Logic pattern recognition interferometry

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Phase Conjugate Michelson Interferometer for Optical Logic 28

Phase Conjugate Michelson Interferometer for Optical Logic

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conference on pattern recognition and tracking xxviii

作者： Khoury, Jed Lartec Inc Sudbury MA 01776 USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

The interference theory is developed for of the phase conjugate Michelson interferometer in which its ordinary mirrors are replaced by a single externally pumped phase conjugate mirror. According to the theory, it was found that for an interferometer with two equal arms, the path length difference depends solely on the initial alignment of the two input beams, and the vertical alignment readout. Small vertical misalignments in the readout beam by mrad causes a huge change in the phase difference in the phase between the two interferometer arms beam. The phase difference is proportional to the interferometer arm lengths. The overlap between the phase conjugate beams is not affected by the interferometer beam alignment. The interferometer is proposed for nondestructive testing and the design all optical logic and associated fuzzy logic for ultrafast optical pattern recognition.

关键词： Optical Logic pattern recognition Interferometry

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FPGA Design of correlation-based pattern recognition 28

FPGA Design of correlation-based pattern recognition

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conference on pattern recognition and tracking xxviii

作者： Jridi, Maher Alfalou, Ayman ISEN Brest Lab ISEN Equipe Vis 20 Rue Cuirasse BretagneCS 42807 Brest 2 France

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

Optical/Digital pattern recognition and tracking based on optical/digital correlation are a well-known techniques to detect, identify and localize a target object in a scene. Despite the limited number of treatments required by the correlation scheme, computational time and resources are relatively high. The most computational intensive treatment required by the correlation is the transformation from spatial to spectral domain and then from spectral to spatial domain. Furthermore, these transformations are used on optical/digital encryption schemes like the double random phase encryption (DRPE). In this paper, we present a VLSI architecture for the correlation scheme based on the fast Fourier transform (FFT). One interesting feature of the proposed scheme is its ability to stream image processing in order to perform correlation for video sequences. A trade-off between the hardware consumption and the robustness of the correlation can be made in order to understand the limitations of the correlation implementation in reconfigurable and portable platforms. Experimental results obtained from HDL simulations and FPGA prototype have demonstrated the advantages of the proposed scheme.

关键词： Fourier transforms MATLAB Field programmable gate arrays Image filtering Image processing Very large scale integration Video processing Image encryption Optical pattern recognition Phase only filters Optical tracking Optoelectronic devices pattern recognition Target detection Target recognition

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Compressed imagery detection rate through map seeking circuit, and histogram of oriented gradient pattern recognition 28

Compressed imagery detection rate through map seeking circui...

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conference on pattern recognition and tracking xxviii

作者： Newtson, Kathy A. Creusere, Charles C. Johns Hopkins Univ Appl Phys Lab Precis Strike Mission Area Las Cruces NM 88003 USA New Mexico State Univ Klipsch Sch Elect & Comp Engn Las Cruces NM 88003 USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

This research investigates the features retained after image compression for automatic pattern recognition purposes. Many raw images with vehicles in them were collected for these experiments. These raw images were significantly compressed using open-source JPEG and JPEG2000 compression algorithms. The original and compressed images are processed with a Map Seeking Circuit (MSC) pattern recognition algorithm, as well as a Histogram of Oriented Gradient (HOG) with Support Vector Machine (SVM) pattern recognition program. Detection rates are given for these images that demonstrates the feature extraction capabilities as well as false alarm rates when the compression was increased. JPEG2000 compression results show preservation of the features needed for automatic pattern recognition which was better than the JPEG standard image compression results.

关键词： Map Seeking Circuits MSC Histogram of Oriented Gradient HOG Support Vector Machine SVM JPEG JPEG2000 Imagery pattern recognition

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Multi-Texture Local Ternary pattern for Face recognition 28

Multi-Texture Local Ternary Pattern for Face Recognition

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conference on pattern recognition and tracking xxviii

作者： Essa, Almabrok Asari, Vijayan Univ Dayton Dept Elect & Comp Engn Dayton OH 45469 USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

In imagery and pattern analysis domain a variety of descriptors have been proposed and employed for different computer vision applications like face detection and recognition. Many of them are affected under different conditions during the image acquisition process such as variations in illumination and presence of noise, because they totally rely on the image intensity values to encode the image information. To overcome these problems, a novel technique named Multi-Texture Local Ternary pattern (MTLTP) is proposed in this paper. MTLTP combines the edges and corners based on the local ternary pattern strategy to extract the local texture features of the input image. Then returns a spatial histogram feature vector which is the descriptor for each image that we use to recognize a human being. Experimental results using a k-nearest neighbors classifier (k-NN) on two publicly available datasets justify our algorithm for efficient face recognition in the presence of extreme variations of illumination/lighting environments and slight variation of pose conditions.

关键词： Frei-Chen edge detector k-NN multi-texture local ternary pattern face recognition

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Graph Clustering for Weapon Discharge Event Detection and tracking in Infrared Imagery Using Deep Features 28

Graph Clustering for Weapon Discharge Event Detection and Tr...

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conference on pattern recognition and tracking xxviii

作者： Das Bhattacharjee, Sreyasee Talukder, Ashit Univ N Carolina Coll Comp & Informat Charlotte NC 28223 USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

This paper addresses the problem of detecting and tracking weapon discharge event in an Infrared Imagery collection. While most of the prior work in related domains exploits the vast amount of complementary information available from both visible-band (EO) and Infrared (IR) image (or video sequences), we handle the problem of recognizing human pose and activity detection exclusively in thermal (IR) images or videos. The task is primarily two-fold: 1) locating the individual in the scene from IR imagery, and 2) identifying the correct pose of the human individual (i.e. presence or absence of weapon discharge activity or intent). An efficient graph-based shortlisting strategy for identifying candidate regions of interest in the IR image utilizes both image saliency and mutual similarities from the initial list of the top scored proposals of a given query frame, which ensures an improved performance for both detection and recognition simultaneously and reduced false alarms. The proposed search strategy offers an efficient feature extraction scheme that can capture the maximum amount of object structural information by defining a region- based deep shape descriptor representing each object of interest present in the scene. Therefore, our solution is capable of handling the fundamental incompleteness of the IR imageries for which the conventional deep features optimized on the natural color images in Imagenet are not quite suitable. Our preliminary experiments on the OSU weapon dataset demonstrates significant success in automated recognition of weapon discharge events from IR imagery.

关键词： Weapon Detection Weapon Discharge Detection tracking Event recognition

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2-D DOST based Local Phase pattern for Face recognition 28

2-D DOST based Local Phase Pattern for Face Recognition

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conference on pattern recognition and tracking xxviii

作者： Moniruzzaman, Md. Alam, Mohammad S. Nfina Technol Inc Mobile AL 36609 USA Texas A&M Univ Kingsville Frank H Dotterweich Coll Engn Kingsville TX USA

ISBN: (数字)9781510609082

ISBN: (纸本)9781510609075;9781510609082

A new two dimensional (2-D) Discrete Orthogonal Stcokwell Transform (DOST) based Local Phase pattern (LPP) technique has been proposed for efficient face recognition. The proposed technique uses 2-D DOST as preliminary preprocessing and local phase pattern to form robust feature signature which can effectively accommodate various 3D facial distortions and illumination variations. The S-transform, is an extension of the ideas of the continuous wavelet transform (CWT), is also known for its local spectral phase properties in time-frequency representation (TFR). It provides a frequency dependent resolution of the time-frequency space and absolutely referenced local phase information while maintaining a direct relationship with the Fourier spectrum which is unique in TFR. After utilizing 2-D S-transform as the preprocessing and build local phase pattern from extracted phase information yield fast and efficient technique for face recognition. The proposed technique shows better correlation discrimination compared to alternate pattern recognition techniques such as wavelet or Gabor based face recognition. The performance of the proposed method has been tested using the Yale and extended Yale facial database under different environments such as illumination variation and 3D changes in facial expressions. Test results show that the proposed technique yields better performance compared to alternate time-frequency representation (TFR) based face recognition techniques.

关键词： JTC 2-D Discrete Orthogonal Stcokwell Transform (DOST) Local Phase pattern (LPP) fringe adjusted-filter shifted-phase-encoded JTC joint power spectrum face descriptor face recognition

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