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The System of Face Detection Based on OpenCV

The System of Face Detection Based on OpenCV

引用

The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

作者： Haixia Wang Xianghua Fan Fuyou Zhang Xiao Lu Key Laboratory for Robot & Intelligent Technology of Shandong Province Shandong University of Scien Key Laboratory for Robot & Intelligent Technology of Shandong Province Shandong University of Scien

Face detection technology has widely attracted attention due to its enormous application value and market potential, such as face recognition and video surveillance system. Real-time face detection not only is one part of the automatic face recognition system but also is developing an independent research subject. So, there are many approaches to solve face detection. Here the modified adaboost algorithm based on OpenCV is presented, and experiments of real-time face detecting are also given through two methods of timer and dual-thread. The result shows that the method of face detection with dual-thread is simpler, smoother and more precise.

关键词： Face detection adaboost algorithm OpenCV Timer Dual-thread

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Gender Recognition Based on Multiple Scale Textural Feature

Gender Recognition Based on Multiple Scale Textural Feature

引用

International Congress on Image and Signal Processing

作者： Jixiang Gou Liang Gao Peide Hou Cunlu Xu School of Information Science and Engineering Lanzhou University

ISBN: (纸本)9781467309653

Traditional gender recognition technologies with single feature cannot express an image completely and are limited by their recognition speed and accuracy. In this paper, we explored a way of fulfilling this task by combing the characteristics of both Haar-like and textural feature and proposed the approach to construct a multiple scale textural feature (MST), meanwhile, in order to achieve high recognition accuracy, we further improved the adaboost algorithm improved by Freidman et al. Data from experiments based on MIT database show that our MST feature working together with the improved adaboost algorithm can obtain a recognition rate of 86%.

关键词： Gender recognition adaboost algorithm HOG Textural feature

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AN INTELLIGENT VIRTUAL FENCE SECURITY SYSTEM FOR THE DETECTION OF PEOPLE INVADING

AN INTELLIGENT VIRTUAL FENCE SECURITY SYSTEM FOR THE DETECTI...

引用

International Conference on Ubiquitous Intelligence & Computing

作者： Jun-Horng Chen Teng-Hui Tseng Chin-Lun Lai Sheng-Ta Hsieh Oriental Institute of Technology Department of Communication Engineering

ISBN: (纸本)9781467330848

This work proposes an intelligent and interactive virtual fence system for security management in a danger- or accident-prone area. The proposed system is designed to be realized in an outdoor and wide-area park. With the proposed system, users can visually and arbitrarily define the polygonic alert area for the sake of security. The Gaussian Mixture Model (GMM) and adaboost algorithms are modified and integrated in this work to provide a robust human detection. As soon as the invading people is detected and located in the interior of the alert area, the proposed system will immediately alarm the security guards by MMS of cellular networks or a customized App installed in smart phones. Besides, this work also proposes a sliding-window based alarm mechanism to practically and robustly improve the detection rate and reduce the false alarm rate of detection. The experimental results will demonstrate that the proposed system can be indeed applied in a real field and provide a satisfied performance.

关键词： Virtual Fence Gaussian Mixture Model Pedestrian Detection adaboost algorithm

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Design and Implementation of Number Gesture Recognition System Based on Kinect

Design and Implementation of Number Gesture Recognition Syst...

引用

第三十九届中国控制会议

作者： Xingxiu He Jia Zhang School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control of Complex System

The paper designs a number gesture recognition system based on Kinect. The system uses the depth image captured by Kinect sensor to extract gesture information for recognition. In the process of recognition, the adaboost algorithm in machine learning is adopted firstly, by the help of Visual Gesture Builder to train the number gesture classifier,and export the classifiers to the recognition program to recognize the current gesture. Finally, numbers are outputted according to the recognized gesture, and the basic functions of number gesture recognition system are realized. Through the experimental verification, the recognition system has enough accuracy, and the system is suitable for various factors such as environment, personnel, etc., which has a certain practical value.

关键词： Kinect sensor number gesture recognition adaboost algorithm human-computer interaction

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Obstacle detection and avoidance via cascade classifier for wheeled mobile robot

Obstacle detection and avoidance via cascade classifier for ...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Chung-Jung Lee Teng-Hui Tseng Bo-Jhen Huang Jun-Weihsieh Chun-Ming Tsai Department of Computer Science University of Taipei Taipei Taiwan ROC Department of Communication Engineering Oriental Institute of Technology New Taipei City Taiwan ROC National Taiwan Ocean University Keelung TW

ISBN: (纸本)9781467372220

A cone obstacle detection method is proposed to detect the cone obstacle. The proposed method uses the Haar features trained by the adaboost algorithm. After training, the cascaded classifiers are produced and used in a wheeled mobile robot to detect the cone obstacles. To apply the cone obstacle detection, the wheeled mobile robot uses the proposed cone obstacle detection algorithm to simulate children playing the cone maze. The wheeled mobile robot creates a twisty path to move through and around the cones to go to the end point. Experimental results show that the proposed method is effective to detect the cone obstacles. Furthermore, the wheeled mobile robot can create a twisty path to move through and around the cones to go to the end point.

关键词： adaboost algorithm Cone obstacle detection Haar features automatic obstacle avoiding cascade classifier wheeled mobile robot wheeled mobile robots Obstacle detection Cone End Point Avoidance

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A Face Detection Method Based on Mixed Characteristics

A Face Detection Method Based on Mixed Characteristics

引用

2012电子信息与电气工程国际学术会议(EIEE2012)

作者： Zhang Jian 1 School of Information and Electrical Engineering,Hunan University of Science and Technology, Hu Nan Xiang Tan 411100,china Zheng Teng Jiao 2 School of Information and Electrical Engineering,Hunan University of Science and Technology, Hu Nan Xiang Tan 411100,china Li Kun 3 ,Wang Wei 3 ,Fu Xiang 3 School of Information and Electrical Engineering,Hunan University of Science and Technology, Hu Nan Xiang Tan 411100,china

Face detection methods based on mixed features and adaboost algorithm are presented. A method combining local Walsh features and global PCA features is proposed, and classifiers based on PCA features are ensemble to i... 详细信息

关键词： adaboost algorithm Walsh characteristics PCA characteristics Face Detection

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EYE LOCATION USING HIERARCHICAL CLASSIFIER

EYE LOCATION USING HIERARCHICAL CLASSIFIER

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： GAO-FENG XU SHI-QI DING CHANG-PING LIU LEI HUANG Harbin Engineering University Harbin Heilongjiang 150001 China Institute of Automation Chinese Academy of Sciences 100083 China

The eyes are important facial landmarks, both for image normalization due to their relatively constant interocular distance, and for post processing due to their anchoring model-based *** this paper a hierarchical classifier for precise eye location algorithm is *** new algorithm involves three main ***, a classifier based on adaboost algorithm is introduced to locate eye pair *** order to get a reliable location, simple eye location is also introduced for checking the located ***, a precise eye location method based on Minimum Extreme Region (MER) is employed to detect eye ***, a combine processing based on the above two results is used for the last *** algorithm is tested on database CAS-PEAL, JAFFE and *** results prove the merit of this approach.

关键词： Eye location adaboost algorithm Minimum extreme region Face recognition

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Automatic Fault Recognition for Losing of Train Bogie Center Plate Bolt

Automatic Fault Recognition for Losing of Train Bogie Center...

引用

2012 IEEE 14th International Conference on Communication Technology

作者： Nan Li Zhenzhong Wei Zhipeng Cao Xinguo Wei Beijing University of Aeronautics & Astronautics BUAA

ISBN: (纸本)9781467321006

This paper proposes an automatic recognition method for losing of train bogie center plate bolt (TBCPB),which initially locates the bolt region based on gray projection and spatial filter,and then acquires the accurate position of bolt region combined with its gradient feature,finally extracts the Haar-like features of bolt region and designs a classifier based on the adaboost *** of experiments demonstrate that the method compresses noise effectively and overcomes the complexity of various *** is also a robust method to images with poor quality,such as blur,poor illumination and excess *** average fault recognition accuracy is 95.9%.

关键词： automatic recognition Haar-like feature adaboost algorithm cross-validation

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Study on the Change Detection from High Resolution Remote-sensing Image

Study on the Change Detection from High Resolution Remote-se...

引用

2014 International Conference on Computer,Network Security and Communication Engineering(CNSCE 2014)

作者： Zi-heng ZHANG Yan TIAN Kui SHAO National Key Laboratory of Science and Technology on Multi-spectral Information Processing The Department of Electronics and Information Engineering Hua Zhong University of Science and Technology

Change detection from remote sensing image is a hot topic in the field of image analysis. This paper describes an object-based change detection method from high resolution image. To obtain meaningful objects, a segmentation method based on optimal segmentation scale is discussed, and then by combing the NDVI and band ratio to obtain the difference image, the change area is detected by adaboost algorithm finally. The efficiency of the method has been assessed by using a pair of bitemporal QuickB ird images.

关键词： High-resolution image Change detection Object-based adaboost algorithm

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3D-Reconstruction of Synapses Based on EM Images

3D-Reconstruction of Synapses Based on EM Images

引用

IEEE International Conference on Mechatronics and Automation

作者： Mingsong Sun Dandan Zhang Hongchen Guo Hao Deng Weifu Li Qiwei Xie Software School Harbin University of Science and Technology Harbin 150040 China Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781509023974

3D reconstruction from the microscopy images of serial sections plays an important role in analyzing structure of biological specimens, such as neuronal circuits in brain tissue. This paper is focusing on the 3D reconstruction of synapses which is a branch of micro reconstruction of brain. Having analysed the structure of synapses, we first detect and locate them in serial sections with cascade adaboost algorithm, then optimize the shape of synapses by constructing suitable fitting functions and segment them with morphology processing method. Taking the connection of adjacent sections and synaptic extensibility in space into consideration, we complete the reconstruction of synapses which is based on the segmentation in serial sections. Actually all our works are based on the registration of serial sections.

关键词： 3D reconstruction adaboost algorithm fitting function registration of serial sections

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