574 Result(s)
within
Computer Science
Image Processing and Computer Vision
Pattern Recognition
**u Tao
Chapter
Conference Paper
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Chapter and Conference Paper
Camera calibration based on 3D-point-grid
In this paper an effective technique of camera calibration based on a 3D-point-grid is presented. The properties of structured space points, defined as 3D-point-grid, and their relations under perspective tran...
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Chapter and Conference Paper
A Sampling Algorithm for Tracking Multiple Objects
The recently proposed CONDENSATION algorithm and its variants enable the estimation of arbitrary multi-modal posterior distributions that potentially represent multiple tracked objects. However, the specific s...
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Chapter and Conference Paper
The Synthesis of Realistic Human Face
In this paper, we present new techniques for creating a realistic specific human face based on a general 3D face model and several photos of a human. The morphing technique allows interactive alignment of feat...
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Chapter and Conference Paper
Detecting Facial Features on Images with Multiple Faces
This paper presents an approach to detect facial features of multiple faces on complex background and with variable poses, illumination conditions, expressions, ages, image sizes, etc. First, the skin parts of...
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Chapter and Conference Paper
Monte Carlo Visual Tracking Using Color Histograms and a Spatially Weighted Oriented Hausdorff Measure
Color-based and edge-based trackers based on sequential Monte Carlo filters have been shown to be robust and versatile for a modest computational cost. However, background features with characteristics similar...
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Chapter and Conference Paper
A Palmprint Acquisition Device with Time-Sharing Light Source Used in Personal Verification
This paper proposes a hardware-based line feature enhancement approach that uses a palmprint acquisition device fitted with a time-sharing light source. When capturing images, two lamps of the light source can...
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Chapter and Conference Paper
Gesture Recognition for Human-Robot Interaction Through a Knowledge Based Software Platform
The task of real-time hand gesture recognition is extremely challenging due to a number of DOFs of hand pose and motion. However, for human-robot interaction in natural ways, gesture can provide a powerful int...
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Chapter and Conference Paper
A Hierarchical Hough Transform for Fingerprint Matching
This paper addresses the improvement on the matching accuracy and speed of generalized Hough transform for the biometric identification applications. The difficulties encountered in generalized Hough transform...
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Chapter and Conference Paper
Using Multi-matching System Based on a Simplified Deformable Model of the Human Iris for Iris Recognition
This paper proposes a new method for iris recognition using a multi-matching system based on a simplified deformable model of the human iris. The method defines iris feature points and forms the feature space ...
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Chapter and Conference Paper
A Speaker Tracking Algorithm Based on Audio and Visual Information Fusion Using Particle Filter
Object tracking by sensor fusion has become an active research area in recent years, but how to fuse various information in an efficient and robust way is still an open problem. This paper presents a new algor...
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Chapter and Conference Paper
Hidden Markov Model Based Events Detection in Soccer Video
This paper presents an algorithm developed based on hidden Markov model for cues fusion and event inference in soccer video. Four events, shoot, foul, offside and normal playing, are defined to be detected. Th...
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Chapter and Conference Paper
Bi-phase Encoded Waveform Design to Deal with the Range Ambiguities for Sparse Space-Based Radar Systems
In order to mitigate the Range-Doppler ambiguities inherent in a sparse aperture, high pulse repetition frequency is adopted to resolve Doppler ambiguous and waveform approach exploits temporal diversity to re...
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Chapter and Conference Paper
A Reinforcement Learning Approach for Host-Based Intrusion Detection Using Sequences of System Calls
Intrusion detection has emerged as an important technique for network security. Due to the complex and dynamic properties of intrusion behaviors, machine learning and data mining methods have been widely emplo...
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Chapter and Conference Paper
One-Point Hexagonal Inner Search for Fast Motion Estimation
In this paper, we propose a novel inner search algorithm for fast motion estimation to speed up the coding of video compression. The proposed algorithm, called as one-point hexagonal inner search (OPHIS), is b...
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Chapter and Conference Paper
A Hybrid GMM and Codebook Map** Method for Spectral Conversion
This paper proposes a new map** method combining GMM and codebook map** methods to transform spectral envelope for voice conversion system. After analyzing overly smoothing problem of GMM map** method in...
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Chapter and Conference Paper
Text Similarity Computing Based on Standard Deviation
Automatic text categorization is defined as the task to assign free text documents to one or more predefined categories based on their content. Classical method for computing text similarity is to calculate th...
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Chapter and Conference Paper
Detecting Anomalous Network Traffic with Combined Fuzzy-Based Approaches
This paper introduces the combined fuzzy-based approaches to detect the anomalous network traffic such as DoS/DDoS or probing attacks, which include Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy C-Means...
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Chapter and Conference Paper
A Weather Forecast System Based on Artificial Immune System
Inspired by the learning mechanism of the biological immune system, the paper presents a method for weather forecast. Expressions of antigen and B-cell are defined. An immune-based supervised learning algorith...
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Chapter and Conference Paper
Personalized Facial Animation Based on 3D Model Fitting from Two Orthogonal Face Images
In this paper, a personalized MPEG-4 compliant facial animation system in embedded platform is presented. We report a semi-automatic and rapid approach for personalized modeling from two orthogonal face images...
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Chapter and Conference Paper
Comparison of Complexity and Regularity of ERP Recordings Between Single and Dual Tasks Using Sample Entropy Algorithm
The purpose of this study is to investigate the application of sample entropy (SampEn) measures to electrophysiological studies of single and dual tasking performance. The complexity of short-duration (~s) epo...
