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Fast Detection of Multi-View Face and Eye Based on Cascaded Classifier

Jung-Bae Kim, Seok-Cheol Kee, Ji-Yeon Kim
2005 IAPR International Workshop on Machine Vision Applications  
In our multi-view face and eye detection, we use a cascaded classifier tr ained by gentle AdaBoost algor ithm, one of the appear ance-based patter n lear ning method.  ...  Specifically, in or der to detect multi-view face, we pr opose a special cascaded classifier using coar se-to-fine sear ch, simple-to-complex sear ch, and par allel-to-separ ated sear ch.  ...  In order to detect multi-view face, we propose a special cascaded classifier including coarse-to-fine search, simple-to-complex search, and parallel-to-separated search.  ... 
dblp:conf/mva/KimKK05 fatcat:e3a226htergitnubp5zb6bwxeu

Funnel-structured cascade for multi-view face detection with alignment-awareness

Shuzhe Wu, Meina Kan, Zhenliang He, Shiguang Shan, Xilin Chen
2017 Neurocomputing  
Multi-view face detection in open environment is a challenging task due to diverse variations of face appearances and shapes.  ...  On the other hand, by using a unified MLP cascade to examine proposals of all views in a centralized style, it provides a favorable solution for multi-view face detection with high accuracy and low time-cost  ...  Acknowledgements This work was partially supported by 973 Program under contract No. 2015CB351802, Natural Science Foundation of China under contracts Nos. 61173065, 61222211, 61402443 and 61390511.  ... 
doi:10.1016/j.neucom.2016.09.072 fatcat:kev6wuhsvbdhhfgnifftgjokh4

Face Detection Using Bionic Cascaded Framework [chapter]

Jin Li, Ziyue Chen, Shunxin Ouyang, Jingyu Xie, Yue Hu, Hui Lv
2019 Lecture Notes in Computer Science  
Face interaction plays an irreplaceable role in the service robots human-robot interaction, while face detection in this kind of scenario are challenging due to restrictions on computing capabilities and  ...  Therefore, a bionic cascaded framework adopted a cascaded structure with two stages of carefully designed face detectors is proposed in this paper, which exploits saccade and attention mechanism of human  ...  This research is supported by the Doctoral Scientific Research Fund of Hubei University of Technology (No. BSQD2017071).  ... 
doi:10.1007/978-3-030-23407-2_7 fatcat:psqflfz6obcxzehfcgf6ah36qy

Locally Assembled Binary (LAB) feature with feature-centric cascade for fast and accurate face detection

Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao
2008 2008 IEEE Conference on Computer Vision and Pattern Recognition  
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature.  ...  Experimental results on the CMU+MIT frontal face test set and CMU profile test set show that the proposed method can achieve very good results and amazing detection speed.  ...  Multi-view face detection Till now, we have presented the method to build a detector for one view of faces. In this section we extend the method to multi-view face detection.  ... 
doi:10.1109/cvpr.2008.4587802 dblp:conf/cvpr/YanSCG08 fatcat:z7kc5ga2wvbtzltewgbkawszd4

A Fast Training Method for Face Detection

Weimin Chen, Dongxia Xu
2009 2009 2nd International Congress on Image and Signal Processing  
There are a lot of problems in the face detection area. One of them is detecting faces by facial features and reducing number of the false negatives and positions.  ...  Also, this paper explans cascades, Haarlike features, AdaBoost, HOG. We propose a scheme using 12-net, 24-net, 48-net to scan images and improve efficiency.  ...  Zhang and others [8] used multi-task CNN to improve the accuracy of multi-view face detection, but the detection recall is limited by the initial detection window produced by a weak face detector.  ... 
doi:10.1109/cisp.2009.5305524 fatcat:3tv3h3vwzbd7xnkjdigs4qacse

Triangle Method for Fast Face Detection on the Wild

Karimov Madjit Malikovich, Tashev Komil Akhmatovich, Islomov Shahboz Zokir ugli, Mavlonov Obid Nizomovich
2018 Journal of multimedia information system  
There are a lot of problems in the face detection area. One of them is detecting faces by facial features and reducing number of the false negatives and positions.  ...  Also, this paper explans cascades, Haarlike features, AdaBoost, HOG. We propose a scheme using 12-net, 24-net, 48-net to scan images and improve efficiency.  ...  Zhang and others [8] used multi-task CNN to improve the accuracy of multi-view face detection, but the detection recall is limited by the initial detection window produced by a weak face detector.  ... 
doi:10.9717/jmis.2018.5.1.15 dblp:journals/jmmis/MalikovichAuN18 fatcat:72eyvurhg5hvvptvdssvramzaa

Learning SURF Cascade for Fast and Accurate Object Detection

Jianguo Li, Yimin Zhang
2013 2013 IEEE Conference on Computer Vision and Pattern Recognition  
The benefit is that the false-positive-rate can be adaptive among different cascade stages, and thus yields much faster convergence speed of SURF cascade.  ...  This paper presents a novel learning framework for training boosting cascade based object detector from large scale dataset.  ...  Multi-view Face Detector Besides frontal face detectors, we also trained multi-view face detector using the proposed approach.  ... 
doi:10.1109/cvpr.2013.445 dblp:conf/cvpr/Li013 fatcat:siy7plpncjgoxntupbdlkzrg7u

Robust Multi-view Face Detection Using Error Correcting Output Codes [chapter]

Hongming Zhang, Wen Gao, Xilin Chen, Shiguang Shan, Debin Zhao
2006 Lecture Notes in Computer Science  
The motivation is that face patterns can be divided into separated classes across views, and ECOC multi-class method can improve the robustness of multi-view face detection compared with the view-based  ...  The experimental results show that the proposed method is robust to multi-view faces, and achieves performance comparable to that of state-of-the-art approaches to multi-view face detection.  ...  Acknowledgements This research is supported by National Nature Science Foundation of China (60332010), 100 Talents Program of CAS, China, the Program for New Century Excellent Talents in University (NCET  ... 
doi:10.1007/11744085_1 fatcat:oz7lebyi2jcvvi4pkllajgh5vy

Fast visual tracking and localization in multi-agent systems

Andelko Katalenic, Ivica Draganjac, Alan Mutka, Stjepan Bogdan
2009 2009 4th IEEE Conference on Industrial Electronics and Applications  
Based on an extremely rapid method for visual detection of an object, described localization strategy provides a real time solution suitable for the design of multi-agent control schemes.  ...  The agents tracking and localization is carried out through five differently trained cascades of classifiers that process images captured by cameras mounted on agents.  ...  Currently, the fastest object detection is provided by cascades of classifiers based on Haarlike features [6] .  ... 
doi:10.1109/iciea.2009.5138527 fatcat:y7v4w2birzaanc53blzkynykei

Efficient and fast multi-view face detection based on feature transformation

Dongyoon Han, Jiwhan Kim, Jeongwoo Ju, Injae Lee, Jihun Cha, Junmo Kim
2014 16th International Conference on Advanced Communication Technology  
In this paper, we propose new efficient and fast multi-view face detection method based on Adaboost.  ...  We also test our face detectors on real-time HD images, and the results show the effectiveness of our proposed method.  ...  PROPOSED MULTI-VIEW FACE DETECTION A.  ... 
doi:10.1109/icact.2014.6779050 fatcat:3xavoi7txnbxfpnzk37bcjyk24

Multi-view face and eye detection using discriminant features

Peng Wang, Qiang Ji
2007 Computer Vision and Image Understanding  
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-view face detection.  ...  RNDA features are subsequently learned and combined with AdaBoost to form a multi-view face detector.  ...  Experiments In this section, we evaluate the RNDA features and AdaBoost classifiers on the multi-view face detection as well as on the eye detection.  ... 
doi:10.1016/j.cviu.2006.08.008 fatcat:7r4d47mxerfldlthumfb4eaeeu

Alternative search techniques for face detection using location estimation and binary features

Venkatesh Bala Subburaman, Sébastien Marcel
2013 Computer Vision and Image Understanding  
We analyze the effect of patch size on location estimation and also evaluate our approach on several face databases.  ...  Apart from the classifier design (such as the cascade), the scanning speed also depends on a number of different factors (such as grid spacing, and scale at which the image is searched).  ...  Viola and Jones [42] also proposed a fast multi-view face detector based on estimating the pose quickly by using a classification tree.  ... 
doi:10.1016/j.cviu.2013.01.002 fatcat:a4wmbj7knbe27lkvtug3cuheri

Real Time Face Detection Using Matlab

Bahajathul Fathema, Alamuri Dedeepya Lakshmi, Bandlamudi Ravali, Raja Rajeswari Dokku
2018 International Journal of Engineering Research and  
Given an arbitrary image, the goal of this project is to determine whether or not there are any faces in the image and detection of eyes and upperbody.  ...  This electronic document is about face detection. In computer literature face detection has been one of the most studied topics.  ...  Huang presented an algorithm for rule based face detection in frontal views for multi resolution image.  ... 
doi:10.17577/ijertv7is020120 fatcat:prxaodirobgqzi7y6gvokvrpnm

Real-Time Face Recognition from Surveillance Video [chapter]

Michael Davis, Stefan Popov, Cristina Surlea
2011 Studies in Computational Intelligence  
Our system detects faces using the Viola-Jones face detector, then extracts local features to build a shape-based feature vector.  ...  Consideration was given to improving the performance and accuracy of both the detection and recognition steps.  ...  When a face is detected, a nested Haar cascade is used to detect an eye (naturally, only one eye is visible in profile view).  ... 
doi:10.1007/978-3-642-17554-1_8 fatcat:2z3hn2d6pva2tcrq5x6ljp2mci

Fast Visual Tracking of Mobile Agents [chapter]

Andelko Katalenic, Ivica Draganjac, Alan Mutka, Stjepan Bog
2011 Multi-Agent Systems - Modeling, Control, Programming, Simulations and Applications  
Currently, the fastest object detection is provided by cascades of classifiers based on Haar-like features Viola & Jones (2001) .  ...  In section 2 algorithm for fast object detection, using Haar-like features and integral image has been introduced followed by the description of strong classifiers and cascades of classifiers.  ...  A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents.  ... 
doi:10.5772/14473 fatcat:stb6nlvccndf7ltzcidig2drca
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