CN105046278A - 基于Haar特征的Adaboost检测算法的优化方法 - Google Patents
基于Haar特征的Adaboost检测算法的优化方法 Download PDFInfo
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- CN105046278A CN105046278A CN201510425242.XA CN201510425242A CN105046278A CN 105046278 A CN105046278 A CN 105046278A CN 201510425242 A CN201510425242 A CN 201510425242A CN 105046278 A CN105046278 A CN 105046278A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/446—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering using Haar-like filters, e.g. using integral image techniques
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CN105046278A true CN105046278A (zh) | 2015-11-11 |
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Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105809114A (zh) * | 2016-02-29 | 2016-07-27 | 深圳市智美达科技股份有限公司 | 人脸检测方法及装置 |
CN106250936A (zh) * | 2016-08-16 | 2016-12-21 | 广州麦仑信息科技有限公司 | 基于机器学习的多特征多线程安检违禁品自动识别方法 |
CN107832722A (zh) * | 2017-11-17 | 2018-03-23 | 江南大学 | 一种基于AdaBoost的人脸检测分类器构造方法 |
CN109034384A (zh) * | 2017-06-12 | 2018-12-18 | 浙江宇视科技有限公司 | 一种数据处理方法和装置 |
CN109409360A (zh) * | 2018-09-26 | 2019-03-01 | 旺微科技(上海)有限公司 | 一种多尺度的图像目标检测方法及检测*** |
CN111783876A (zh) * | 2020-06-30 | 2020-10-16 | 西安全志科技有限公司 | 自适应智能检测电路及图像智能检测方法 |
Citations (3)
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CN101178770A (zh) * | 2007-12-11 | 2008-05-14 | 北京中星微电子有限公司 | 一种图像检测方法及装置 |
CN103093250A (zh) * | 2013-02-22 | 2013-05-08 | 福建师范大学 | 一种基于新Haar-like特征的Adaboost人脸检测方法 |
CN104036284A (zh) * | 2014-05-12 | 2014-09-10 | 沈阳航空航天大学 | 基于Adaboost算法的多尺度行人检测方法 |
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2015
- 2015-07-17 CN CN201510425242.XA patent/CN105046278B/zh active Active
Patent Citations (3)
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CN101178770A (zh) * | 2007-12-11 | 2008-05-14 | 北京中星微电子有限公司 | 一种图像检测方法及装置 |
CN103093250A (zh) * | 2013-02-22 | 2013-05-08 | 福建师范大学 | 一种基于新Haar-like特征的Adaboost人脸检测方法 |
CN104036284A (zh) * | 2014-05-12 | 2014-09-10 | 沈阳航空航天大学 | 基于Adaboost算法的多尺度行人检测方法 |
Non-Patent Citations (1)
Title |
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王庆伟等: "一种基于Haar-Like T 特征的人脸检测算法", 《模式识别与人工智能》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105809114A (zh) * | 2016-02-29 | 2016-07-27 | 深圳市智美达科技股份有限公司 | 人脸检测方法及装置 |
CN105809114B (zh) * | 2016-02-29 | 2019-02-01 | 深圳市智美达科技股份有限公司 | 人脸检测方法及装置 |
CN106250936A (zh) * | 2016-08-16 | 2016-12-21 | 广州麦仑信息科技有限公司 | 基于机器学习的多特征多线程安检违禁品自动识别方法 |
CN109034384A (zh) * | 2017-06-12 | 2018-12-18 | 浙江宇视科技有限公司 | 一种数据处理方法和装置 |
CN107832722A (zh) * | 2017-11-17 | 2018-03-23 | 江南大学 | 一种基于AdaBoost的人脸检测分类器构造方法 |
CN107832722B (zh) * | 2017-11-17 | 2021-05-28 | 江南大学 | 一种基于AdaBoost的人脸检测分类器构造方法 |
CN109409360A (zh) * | 2018-09-26 | 2019-03-01 | 旺微科技(上海)有限公司 | 一种多尺度的图像目标检测方法及检测*** |
CN111783876A (zh) * | 2020-06-30 | 2020-10-16 | 西安全志科技有限公司 | 自适应智能检测电路及图像智能检测方法 |
CN111783876B (zh) * | 2020-06-30 | 2023-10-20 | 西安全志科技有限公司 | 自适应智能检测电路及图像智能检测方法 |
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Effective date of registration: 20170321 Address after: 214135 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park building C Applicant after: JIANGSU R & D CENTER FOR INTERNET OF THINGS Applicant after: HIGH TECH Co. IEAS BEIJING CHINA Applicant after: Chinese Academy of Sciences State-owned Assets Management Co.,Ltd. Address before: 214135 Jiangsu New District of Wuxi City Linghu Road No. 200 China Sensor Network International Innovation Park building C Applicant before: JIANGSU R & D CENTER FOR INTERNET OF THINGS Applicant before: HIGH TECH Co. IEAS BEIJING CHINA |
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Address after: 214135 Block C, International Innovation Park of China Sensor Network, 200 Linghu Avenue, Wuxi New District, Jiangsu Province Patentee after: JIANGSU R & D CENTER FOR INTERNET OF THINGS Patentee after: Beijing Kedian High-Tech Co.,Ltd. Patentee after: Chinese Academy of Sciences State-owned Assets Management Co.,Ltd. Address before: 214135 Block C, International Innovation Park of China Sensor Network, 200 Linghu Avenue, Wuxi New District, Jiangsu Province Patentee before: JIANGSU R & D CENTER FOR INTERNET OF THINGS Patentee before: HIGH TECH Co. IEAS BEIJING CHINA Patentee before: Chinese Academy of Sciences State-owned Assets Management Co.,Ltd. |
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