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題名 不同光源環境下的即時膚色辨識
Real-Time Skin Color Detection in Various Lighting Conditions
作者 紀煜豪
Chi, Yu-Hao
貢獻者 廖文宏
Liao, Wen-Hung
紀煜豪
Chi, Yu-Hao
關鍵詞 即時
膚色辨識
不同光源環境
Real-Time
Skin Color Detection
Various Lighting Conditions
日期 2006
上傳時間 17-Sep-2009 14:02:14 (UTC+8)
摘要 在不同的光源環境下，顏色的資訊會隨著環境而改變，因此要做到穩定的膚色辨識並不容易。先前的研究指出，人類的膚色大致上可歸納於特定顏色座標系統中的一段範圍內。但是根據我們的實驗，這段範圍會隨著環境光源的改變而產生偏移，因此運用相同的標準，無法在不同的場景下做到準確的膚色辨識與切割。針對這個議題，我們提出利用影像中非色彩的資訊，找出最符合膚色的範圍。具體來說，借重臉部偵測獨立於色度的特性，我們使用臉部偵測的結果，做為調整膚色範圍的依據。實驗所得到的辨識結果，效能與效率都足以運用在以視覺為基礎的人機介面，例如手部與指尖偵測。
Robust detection of skin color is a difficult task since color information changes under different lighting conditions. Previous research indicated that human skin color is restricted to a small range of values in certain color coordinate systems. However, the ranges tend to shift with varying illumination according to our experiments. It is therefore unattainable to derive a universal standard for skin color detection and segmentation for general scenes. To address this issue, we propose to use achromatic features to identify the proper ranges of skin color in an image. Specifically, we utilize the result of face detection, which is independent of chromatic properties, to guide the process of skin color range selection. Experimental results have validated the efficacy and efficiency of the proposed methodology for vision-based human-computer interface such as hand and finger detection.
參考文獻 [1] B.D. Zarit, B.J. Super, Francis K. H. Quek, “Comparison of Five Color spaces in Skin Pixel Classification,” International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-time Systems, pp. 58 – 63, 1999.
[2] C. Garcia, G. Tziritas, “Face detection using quantized skin color regions merging and wavelet packet analysis,” IEEE Trans. Multimedia, vol. 1, no. 3, pp. 264 – 277, 1999.
[3] J. Cai, A. Goshtasby, “Detecting human faces in color images,” Image Vision Comput. 18, pp. 63-75, 1999.
[4] J. Letessier, F. Bérard, “Visual Tracking of Bare Fingers for Interactive Surfaces,” 17th Annual ACM Symposium on User Interface Software and Technology, pp. 119 – 122, 2004.
[5] D.A. Forsyth, and M.M. Fleck, “Identifying Nude Pictures,” Applications of Computer Vision, WACV `96., Proceedings 3rd IEEE Workshop on, IEEE, Sarasota, FL USA, pp. 103 – 108, 1996.
[6] P. Kakumanu, S. Makrogiannis, N.G. Bourbakis, “A survey of skin-color modeling and detection methods,” Pattern Recognition 40(3), pp.1106-1122, 2007.
[7] K. Sobottka, I. Pitas, “A novel method for automatic face segmentation, facial feature extraction and tracking, Signal Process,” Image Communication. 12, pp. 263-281, 1998.
[8] D. Chai, K.N. Ngan, “Face segmentation using skin-color map in videophone applications,” IEEE Trans. Circuits Syst. Video Technol. 9, 1999.
[9] S. Kawato, J. Ohya, “Automatic Skin-color Distribution Extraction for Face Detection and Tracking,” ICSP2000: The 5th Int. Conf. on Signal Processing, pp.1415-1418, 21–25, 2000.
[10] S. L. Phung, A. Bouzerdoum and D. Chai, “Skin segmentation using color pixel classification: analysis and comparison,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 1, 2005.
[11] P. Viola and M. Jones, “Robust Real-Time Face Detection,” International Journal of Computer Vision, Vol. 57, Issue 2, pp.137-154, 2004.
[12] C.W. Yeh and W.H. Liao, “Magic Mirror: Design Issues of Smart Display Devices,” 18th IPPR Conference on Computer Vision, Graphics, and Image Processing, pp. 59 – 63, 2005.
描述 碩士
國立政治大學
資訊科學學系
94753006
95
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0094753006
資料類型 thesis
dc.contributor.advisor 廖文宏zh_TW
dc.contributor.advisor Liao, Wen-Hungen_US
dc.contributor.author (Authors) 紀煜豪zh_TW
dc.contributor.author (Authors) Chi, Yu-Haoen_US
dc.creator (作者) 紀煜豪zh_TW
dc.creator (作者) Chi, Yu-Haoen_US
dc.date (日期) 2006en_US
dc.date.accessioned 17-Sep-2009 14:02:14 (UTC+8)-
dc.date.available 17-Sep-2009 14:02:14 (UTC+8)-
dc.date.issued (上傳時間) 17-Sep-2009 14:02:14 (UTC+8)-
dc.identifier (Other Identifiers) G0094753006en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/32676-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊科學學系zh_TW
dc.description (描述) 94753006zh_TW
dc.description (描述) 95zh_TW
dc.description.abstract (摘要) 在不同的光源環境下，顏色的資訊會隨著環境而改變，因此要做到穩定的膚色辨識並不容易。先前的研究指出，人類的膚色大致上可歸納於特定顏色座標系統中的一段範圍內。但是根據我們的實驗，這段範圍會隨著環境光源的改變而產生偏移，因此運用相同的標準，無法在不同的場景下做到準確的膚色辨識與切割。針對這個議題，我們提出利用影像中非色彩的資訊，找出最符合膚色的範圍。具體來說，借重臉部偵測獨立於色度的特性，我們使用臉部偵測的結果，做為調整膚色範圍的依據。實驗所得到的辨識結果，效能與效率都足以運用在以視覺為基礎的人機介面，例如手部與指尖偵測。zh_TW
dc.description.abstract (摘要) Robust detection of skin color is a difficult task since color information changes under different lighting conditions. Previous research indicated that human skin color is restricted to a small range of values in certain color coordinate systems. However, the ranges tend to shift with varying illumination according to our experiments. It is therefore unattainable to derive a universal standard for skin color detection and segmentation for general scenes. To address this issue, we propose to use achromatic features to identify the proper ranges of skin color in an image. Specifically, we utilize the result of face detection, which is independent of chromatic properties, to guide the process of skin color range selection. Experimental results have validated the efficacy and efficiency of the proposed methodology for vision-based human-computer interface such as hand and finger detection.en_US
dc.description.tableofcontents 第一章 緒論 1
1.1 研究背景 2
1.2 研究目標 3
第二章 相關研究 5
2.1 Color Space分類 5
2.2 Domain組合比較 7
第三章 Color Space比較 13
3.1 Color Space介紹 13
3.2 Color Space轉換 14
3.3 利用膚色及非膚色影像比較color space 17
3.4 實驗結果分析 28
第四章 固定與可變門檻方法比較 30
4.1 固定與可變門檻比較實驗 30
4.2 實驗取材 31
4.3 未利用臉部偵測的膚色辨識 32
4.4 利用臉部偵測結果的膚色辨識 32
4.5 實驗結果 34
4.6 實驗結果分析 39
第五章 即時膚色辨識 45
5.1 使用網路攝影機 45
5.1.1 實驗方法 46
5.1.2 實驗結果 48
5.2 效能改善 60
5.3 影像擷取卡輸入影像 63
第六章 膚色資訊的相關應用 65
6.1 手部偵測 65
6.1.1 手部偵測限制 66
6.1.2 手掌與手背的膚色差異 66
6.2 指尖偵測 71
6.2.1 指尖偵測流程 72
6.2.2 偵側結果比較 75
第七章 結論 79
參考文獻 81		zh_TW
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dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0094753006en_US
dc.subject (關鍵詞) 即時zh_TW
dc.subject (關鍵詞) 膚色辨識zh_TW
dc.subject (關鍵詞) 不同光源環境zh_TW
dc.subject (關鍵詞) Real-Timeen_US
dc.subject (關鍵詞) Skin Color Detectionen_US
dc.subject (關鍵詞) Various Lighting Conditionsen_US
dc.title (題名) 不同光源環境下的即時膚色辨識zh_TW
dc.title (題名) Real-Time Skin Color Detection in Various Lighting Conditionsen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) [1] B.D. Zarit, B.J. Super, Francis K. H. Quek, “Comparison of Five Color spaces in Skin Pixel Classification,” International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-time Systems, pp. 58 – 63, 1999.zh_TW
dc.relation.reference (參考文獻) [2] C. Garcia, G. Tziritas, “Face detection using quantized skin color regions merging and wavelet packet analysis,” IEEE Trans. Multimedia, vol. 1, no. 3, pp. 264 – 277, 1999.zh_TW
dc.relation.reference (參考文獻) [3] J. Cai, A. Goshtasby, “Detecting human faces in color images,” Image Vision Comput. 18, pp. 63-75, 1999.zh_TW
dc.relation.reference (參考文獻) [4] J. Letessier, F. Bérard, “Visual Tracking of Bare Fingers for Interactive Surfaces,” 17th Annual ACM Symposium on User Interface Software and Technology, pp. 119 – 122, 2004.zh_TW
dc.relation.reference (參考文獻) [5] D.A. Forsyth, and M.M. Fleck, “Identifying Nude Pictures,” Applications of Computer Vision, WACV `96., Proceedings 3rd IEEE Workshop on, IEEE, Sarasota, FL USA, pp. 103 – 108, 1996.zh_TW
dc.relation.reference (參考文獻) [6] P. Kakumanu, S. Makrogiannis, N.G. Bourbakis, “A survey of skin-color modeling and detection methods,” Pattern Recognition 40(3), pp.1106-1122, 2007.zh_TW
dc.relation.reference (參考文獻) [7] K. Sobottka, I. Pitas, “A novel method for automatic face segmentation, facial feature extraction and tracking, Signal Process,” Image Communication. 12, pp. 263-281, 1998.zh_TW
dc.relation.reference (參考文獻) [8] D. Chai, K.N. Ngan, “Face segmentation using skin-color map in videophone applications,” IEEE Trans. Circuits Syst. Video Technol. 9, 1999.zh_TW
dc.relation.reference (參考文獻) [9] S. Kawato, J. Ohya, “Automatic Skin-color Distribution Extraction for Face Detection and Tracking,” ICSP2000: The 5th Int. Conf. on Signal Processing, pp.1415-1418, 21–25, 2000.zh_TW
dc.relation.reference (參考文獻) [10] S. L. Phung, A. Bouzerdoum and D. Chai, “Skin segmentation using color pixel classification: analysis and comparison,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 1, 2005.zh_TW
dc.relation.reference (參考文獻) [11] P. Viola and M. Jones, “Robust Real-Time Face Detection,” International Journal of Computer Vision, Vol. 57, Issue 2, pp.137-154, 2004.zh_TW
dc.relation.reference (參考文獻) [12] C.W. Yeh and W.H. Liao, “Magic Mirror: Design Issues of Smart Display Devices,” 18th IPPR Conference on Computer Vision, Graphics, and Image Processing, pp. 59 – 63, 2005.zh_TW