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检索条件"主题词=Adaboost algorithm"

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Human action recognition based on adaboost algorithm for feature extraction 14

Human action recognition based on AdaBoost algorithm for fea...

引用

IEEE International Conference on Computer and Information Technology (CIT 2014)

作者： Ji, Xiaofei Zhou, Lu Li, Yibo Shenyang Aerosp Univ Sch Automat Shenyang Liaoning Peoples R China

ISBN: (纸本)9781479962396

A novel action recognition method based on adaboost algorithm is proposed in this paper. The method can select the most discriminative sample subset from a large amount of raw features of training data, so it can reduce the recognition computational complexity with high accuracy. The histogram of oriented gradient feature (HOG) descriptor is utilized to represent raw feature data. In order to select the most discriminative samples, Gadabouts algorithm is used to extract the raw feature data. The nearest neighbor classifier algorithm is utilized to test the proposed method on the UCF Sports database. Experiment results show that the method not only achieve the better recognition rate but also greatly improve the speed of recognition.

关键词： Histogram of oriented gradient adaboost algorithm Nearest neighbor classifier UCF Sports database

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SVM ensemble method based on improved iteration processof adaboost algorithm 29

SVM ensemble method based on improved iteration processof Ad...

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第29届中国控制与决策会议

作者： Yiming Tian Xitai Wang School of Control Science and Engineering Hebei University of Technology

ISBN: (纸本)9781509046584

In order to improve the performance of the base classifier in the process of Ada Boost algorithm and simplify the complexity of the whole ensemble learning system, this paper presents a SVM ensemble methodbased on an improved iteration process of adaboost *** improved adaboost algorithm is added with methods of adding sample selection and feature selection in its iterative process in order to solve the problem that adaboost is susceptible to noise and has long training time. First of all, the samples subsets are selected by means of mean nearest neighbor algorithm. Secondly, the feature subset are obtained using the method of relative entropy. Lastly, the individual SVM classifiers are trained by the resulting optimal feature samples subset in each cycle and combined via majority vote to generate the final decision system. The simulation results of UCI datasets show that this algorithm can achieve a higher recognition accuracy on the basis of fewer samples and features compared with the traditional adaboost support vector machine ensemble algorithm.

关键词： ensemble learning adaboost algorithm support vector machine feature selection

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Eye Detection Based on Improved adaboost algorithm 6

Eye Detection Based on Improved AdaBoost Algorithm

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International Conference on Audio, Language and Image Processing (ICALIP)

作者： Li, Yang Shanghai Jianqiao Univ Coll Informat Technol Shanghai 201306 Peoples R China

ISBN: (纸本)9781538651957

Focused on the issue that the detection error rate of the current eye detection method is relatively high, and when the adaboost algorithm is used to train the classifier, it is easy to appear the phenomenon of weight imbalance. A new eye detection method based on the improved adaboost algorithm is proposed. First, the adaboost algorithm is applied to the detection of human eyes. Then the reason for the imbalance of weights in training of adaboost algorithm is analyzed, and the concept of missing detection rate is introduced to improve the weight updating process of adaboost algorithm. The experimental results show that the improved adaboost algorithm ensured the sample weight distribution balance and improve the accuracy in the training process;eye detection based on the improved adaboost algorithm effectively maintains a high detection rate and inhibits the detection error rate, makes detection more accurate.

关键词： eye detection adaboost algorithm cascade classifier Haar featur intergal image

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An Optimized Face Detection Based on adaboost algorithm

An Optimized Face Detection Based on Adaboost Algorithm

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International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Zeng Hao Qin Feng Lin Kaidong Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing Peoples R China

ISBN: (纸本)9781538657386

In the real face detection, adaboost based algorithm usually has a higher false positive rate and loss rate. But it faces with the problem of long training time, susceptible to face deflection, obstruction and other factors. In view of the above problems, an improved face detection algorithm is proposed, which can reduce the training time and improve the training speed by using the feature processing, and the detection rate is improved by introducing the skin color detection based on YCgCr color space. Through experimental testing, the proposed algorithm can solve the occlusion, angle, light and other problems to a certain extent.

关键词： adaboost algorithm face detection feature processing skin color detection

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Early Breast Cancer Detection with Digital Mammograms Using Haar-like Features and adaboost algorithm

Early Breast Cancer Detection with Digital Mammograms Using ...

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Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications

作者： Zheng, Yufeng Yang, Clifford Merkulov, Alex Bandari, Malavika Alcorn State Univ Lorman MS 39096 USA Univ Connecticut Ctr Hlth Farmington CT USA

ISBN: (纸本)9781510601123

The current computer-aided detection (CAD) methods are not sufficiently accurate in detecting masses, especially in dense breasts and/or small masses (typically at their early stages). A small mass may not be perceived when it is small and/or homogeneous with surrounding tissues. Possible reasons for the limited performance of existing CAD methods are lack of multiscale analysis and unification of variant masses. The speed of CAD analysis is important for field applications. We propose a new CAD model for mass detection, which extracts simple Haar-like features for fast detection, uses adaboost approach for feature selection and classifier training, applies cascading classifiers for reduction of false positives, and utilizes multiscale detection for variant sizes of masses. In addition to Haar features, local binary pattern (LBP) and histograms of oriented gradient (HOG) are extracted and applied to mass detection. The performance of a CAD system can be measured with true positive rate (TPR) and false positives per image (FPI). We are collecting our own digital mammograms for the proposed research. The proposed CAD model will be initially demonstrated with mass detection including architecture distortion.

关键词： Computer-aided detection (CAD) Breast cancer detection Haar-like features adaboost algorithm Local binary pattern (LBP) Histograms of oriented gradient (HOG)

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The adaboost algorithm with the Imprecision Determine the Weights of the Observations

The AdaBoost Algorithm with the Imprecision Determine the We...

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6th Asian Conference on Intelligent Information and Database Systems (ACIIDS)

作者： Burduk, Robert Wroclaw Univ Technol Dept Syst & Comp Networks PL-50370 Wroclaw Poland

ISBN: (纸本)9783319054582;9783319054575

This paper presents the adaboost algorithm that provides for the imprecision in the calculation of weights. In our approach the obtained values of weights are changed within a certain range of values. This range represents the uncertainty of the calculation of the weight of each element of the learning set. In our study we use the boosting by the reweighting method where each weak classifier is based on the recursive partitioning method. A number of experiments have been carried out on eight data sets available in the UCI repository and on two randomly generated data sets. The obtained results are compared with the original adaboost algorithm using appropriate statistical tests.

关键词： adaboost algorithm weight of the observation machine learning

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Designing and Optimizing the Method for Pedestrian Detection Based on adaboost algorithm 11

Designing and Optimizing the Method for Pedestrian Detection...

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11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Su, Yunpeng Fan, Binwen Yang, Qiliang Shenzhen Grad Sch Harbin Inst Technol Key Lab IOT Terminal Pivotal Technol Shenzhen Peoples R China

ISBN: (纸本)9781479951482

The designing based on adaboost algorithm not only achieved the nighttime pedestrian detection module of auxiliary driving system, but also realized the system optimization on issues of low detection speed and precision. In this design, variable step length and partition scanning track methods are used to improve the detection speed and variance normalization approach was applied to eliminate the influences to the detection result caused by light factors, moreover, multi-scale fusion technology was utilized to make analysis to the detected rectangular box, in this case, the redundant portion of detection result can be removed, and thus improved the detection rate and reduced the false alarm rate.

关键词： Pedestrian Detection adaboost algorithm multi-scale fusion

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Driver's Eyes State Detection Based on adaboost algorithm and Image Complexity 6

Driver's Eyes State Detection Based on Adaboost Algorithm an...

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6th International Conference on Intelligent Systems Design and Engineering Applications (ISDEA)

作者： Li, Xue Wu, QingXiang Kou, Yu Hou, Lei Xie, Haihui Fujian Normal Univ Coll Photon & Elect Engn Minist Educ Key Lab OptoElect Sci & Technol Med Fuzhou Fujian Peoples R China

ISBN: (纸本)9781467393935

Eyes state detection is a very important issue in the driver's fatigue detection. In this paper, a novel method is proposed to solve the difficulties and shortcomings in the eyes state detection. Gray-scale transformation and median filtering are used to preprocess images. And then, adaboost algorithm is used to train the cascade strong classifiers based on the characteristics of Haar to extract the face. In order to reduce the complexity of eyes location algorithm, the only upper part of face is sheared and an image complexity-based algorithm is proposed to locate eyes precisely and solve difficulties to detect the eyes when it closed in current methods. In the proposed algorithm image complexity and maximum connected components are used to locate precise positions of the eyes and judge the state of eyes. The experimental results show that the algorithm has improved the eyes state detection accuracy and has high robustness.

关键词： Fatigue Detection adaboost algorithm Image Complexity The Maximum Connected Components

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Power Network Vulnerability Detection Based on Improved adaboost algorithm 4th

Power Network Vulnerability Detection Based on Improved Adab...

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4th International Conference on Cloud Computing and Security (ICCCS)

作者： Tao, Wenwei Liu, Song Su, Yang Hu, Chao CSG Power Dispatching Control Ctr Guangzhou 510670 Guangdong Peoples R China NARI Informat & Commun Technol Co Ltd Nanjing 210033 Jiangsu Peoples R China

ISBN: (纸本)9783030000127;9783030000110

The impact of the Internet on the power industry is increasing, the detection of power network vulnerability becomes more and more important. Traditional power network vulnerabilities detection methods are relatively labor-intensive and inefficient, so, the power network vulnerability detection algorithm based on improved adaboost is proposed in this paper. It is a kind of machine learning algorithm, which select C4.5 decision tree as weak classifier to integrate a strong classifier. Compared with neural network, KNN and other methods, the proposed algorithm is more efficient in power network vulnerability detection.

关键词： Machine learning Power network vulnerability detection adaboost algorithm

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Face Detection Based on Skin Color and adaboost algorithm

Face Detection Based on Skin Color and AdaBoost Algorithm

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International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Wang, Yu Ban, Xiaojuan Yang, Xing Guo, Yifei Univ Sci & Technol Beijing Sch Comp & Commun Engn Beijing 100083 Peoples R China

Skin color segmentation and adaboost algorithm always play important roles in various face detection methods. To combine the two smoothly, this paper investigates face detection methods based on skin color feature and... 详细信息

ISBN: (纸本)9783038350125

关键词： Face Detection adaboost algorithm Skin Color Segmentation

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