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A robustness and real-time face detection algorithm in complex background
Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances m...
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| creator | Li-Ying Lang Wei-Wei Gu |
| description | Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed and named A-SCS algorithm, which is increased skin color segmentation after detected face region use the AdaBoost algorithm. This algorithm makes full use of the image useful information, and greatly reduced the possibility of misjudgment. Compare to AdaBoost algorithm and skin color segmentation algorithm, the algorithm mentioned in this paper reduced the false detecting rate in complex background image, At the same time, it is of definite robustness. Simulated experimental results by Matlab indicate that this algorithm is faster and accuracy. Therefore it can be applied to real-time face detection system. |
| doi_str_mv | 10.1109/ICWAPR.2009.5207441 |
| format | conference_proceeding |
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But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed and named A-SCS algorithm, which is increased skin color segmentation after detected face region use the AdaBoost algorithm. This algorithm makes full use of the image useful information, and greatly reduced the possibility of misjudgment. Compare to AdaBoost algorithm and skin color segmentation algorithm, the algorithm mentioned in this paper reduced the false detecting rate in complex background image, At the same time, it is of definite robustness. Simulated experimental results by Matlab indicate that this algorithm is faster and accuracy. 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But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed and named A-SCS algorithm, which is increased skin color segmentation after detected face region use the AdaBoost algorithm. This algorithm makes full use of the image useful information, and greatly reduced the possibility of misjudgment. Compare to AdaBoost algorithm and skin color segmentation algorithm, the algorithm mentioned in this paper reduced the false detecting rate in complex background image, At the same time, it is of definite robustness. Simulated experimental results by Matlab indicate that this algorithm is faster and accuracy. Therefore it can be applied to real-time face detection system.</description><subject>AdaBoost</subject><subject>Algorithm design and analysis</subject><subject>Color space</subject><subject>Colored noise</subject><subject>Face detection</subject><subject>Image segmentation</subject><subject>Mathematical model</subject><subject>Pattern analysis</subject><subject>Pattern recognition</subject><subject>Robustness</subject><subject>Skin</subject><subject>Skin color model</subject><subject>Skin color segmentation</subject><subject>Wavelet analysis</subject><issn>2158-5695</issn><isbn>9781424437283</isbn><isbn>1424437288</isbn><isbn>1424437296</isbn><isbn>9781424437290</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1UNtKAzEUjGjBtu4X9CU_sDWXkyZ5XIqXhYIiio8lyZ7U6F7K7hb0712wzsMMMzDzMISsOFtzzuxtuX0vnl_WgjG7VoJpAH5BFhwEgNTCbi5JZrX590ZekbngyuRqY9WMLKaesXxiuCbZMHyyCaCEtGZOyoL2nT8NY4vDQF1b0R5dnY-pQRpdQFrhiGFMXUtdfej6NH40NLU0dM2xxm_qXfg69N2prW7ILLp6wOysS_J2f_e6fcx3Tw_lttjliWs15h5l4MFFry14pgVE6yB6AwIBUDlkMUgh_JSGGIO3YIxnwJkMDLV3cklWf7sJEffHPjWu_9mfb5G_i6BTUg</recordid><startdate>200907</startdate><enddate>200907</enddate><creator>Li-Ying Lang</creator><creator>Wei-Wei Gu</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200907</creationdate><title>A robustness and real-time face detection algorithm in complex background</title><author>Li-Ying Lang ; Wei-Wei Gu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-be3c1cafb794b0724f9a4fb842e44e5ae0fc322b9a4cffcb9488b04103c0e7ba3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>AdaBoost</topic><topic>Algorithm design and analysis</topic><topic>Color space</topic><topic>Colored noise</topic><topic>Face detection</topic><topic>Image segmentation</topic><topic>Mathematical model</topic><topic>Pattern analysis</topic><topic>Pattern recognition</topic><topic>Robustness</topic><topic>Skin</topic><topic>Skin color model</topic><topic>Skin color segmentation</topic><topic>Wavelet analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Li-Ying Lang</creatorcontrib><creatorcontrib>Wei-Wei Gu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li-Ying Lang</au><au>Wei-Wei Gu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A robustness and real-time face detection algorithm in complex background</atitle><btitle>2009 International Conference on Wavelet Analysis and Pattern Recognition</btitle><stitle>ICWAPR</stitle><date>2009-07</date><risdate>2009</risdate><spage>22</spage><epage>25</epage><pages>22-25</pages><issn>2158-5695</issn><isbn>9781424437283</isbn><isbn>1424437288</isbn><eisbn>1424437296</eisbn><eisbn>9781424437290</eisbn><abstract>Because AdaBoost cascade face detection algorithm has a very outstanding performance, AdaBoost face detection is the mainstream algorithm currently. But it can produce misjudgment at a similar facial feature regional, particularly in the detection of more complicated image background circumstances misjudgment is even more serious. In view of reasons above, in this paper, a new algorithm was proposed and named A-SCS algorithm, which is increased skin color segmentation after detected face region use the AdaBoost algorithm. This algorithm makes full use of the image useful information, and greatly reduced the possibility of misjudgment. Compare to AdaBoost algorithm and skin color segmentation algorithm, the algorithm mentioned in this paper reduced the false detecting rate in complex background image, At the same time, it is of definite robustness. Simulated experimental results by Matlab indicate that this algorithm is faster and accuracy. Therefore it can be applied to real-time face detection system.</abstract><pub>IEEE</pub><doi>10.1109/ICWAPR.2009.5207441</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2158-5695 |
| ispartof | 2009 International Conference on Wavelet Analysis and Pattern Recognition, 2009, p.22-25 |
| issn | 2158-5695 |
| language | eng |
| recordid | cdi_ieee_primary_5207441 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | AdaBoost Algorithm design and analysis Color space Colored noise Face detection Image segmentation Mathematical model Pattern analysis Pattern recognition Robustness Skin Skin color model Skin color segmentation Wavelet analysis |
| title | A robustness and real-time face detection algorithm in complex background |
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