Refine your search
Collections
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Laaroussi, K.
- People Tracking Using Color Control Points and Skin Color
Abstract Views :77 |
PDF Views:49
Authors
Affiliations
1 LIIAN, Faculty of Sciences Dhar-Mehraz, Sidi Mohamed Ben Abdellah University, B.P. 1796, Atlas, Fez, MA
1 LIIAN, Faculty of Sciences Dhar-Mehraz, Sidi Mohamed Ben Abdellah University, B.P. 1796, Atlas, Fez, MA
Source
Journal of Emerging Technologies in Web Intelligence, Vol 6, No 1 (2014), Pagination: 94-100Abstract
This paper presents a new approach to be used for people detection and tracking in image sequences based on color control points and skin color modeling. This method aims to track these people in complex situations such as players on a soccer field. Each person in the image is represented by several control points which are obtained using a color version of the Harris algorithm detector. Each control point is characterized by the local appearance which is a vector of local characteristics. Then we determine the rules that define the skin regions in three different color spaces such as RGB, HSV and YCbCr, and we apply these rules to our images to segment skin regions. Using a set of control points and skin regions allows us to track a person by matching control points based on the measure of ZNCC correlation «Zero mean Normalized Cross Correlation». The simulations and experimental results show the robustness of our algorithms in terms of stability and convergence. Performance is illustrated by some examples. Thus, our method fits well with the noise conditions.Keywords
Color Control Points, Skin Color, Appearance Model, Matching, People Detection, People Tracking.Full Text
References
- C. Stauffer and W.E.L.Grimson, Adaptive background mixture models for real-time tracking, Computer Vision and Pattern Recognition, pages 246-252, 1999.
- M.Isard and A. Blake. Condensation - conditional density propagation for visual tracking, International Journal of Computer Vision, pages 5-28, 1998.
- P.Li, T.Zhang, and A.E.C.Pece, Visual contour tracking based on particle filters, Image and Vision Computing, pages 111-123, 2003.
- P.Montesinos, V.Gouet, and R.Deriche, Differential invariants for color images, International Conference on Pattern Recognition, pages 838-840, 1998.
- M.HAMMAMI, Modele de peau et application a la classification d'images et au filtrage des sites Web, L'ECOLE CENTRALE DE LYON, pages 69-80, 2005.
- F.Gianni, Suivi de parties du corps pour l'interpretation de gestes de communication a partir d'une sequence monoculaire, Universite Paul Sabatier-Toulouse III, pages 7-10, 2010.
- C.Schmid, R. Mohr, and C.Bauckhage, Evaluation of interest point detectors, International Journal of Computer Vision, pages 151-172, 2000.
- J. Harris and M. Stephens, A combined corner and edge detector, 4th ALVEY Vision Conference, pages 147-151, 1988.
- A.Saaidi, H.Tairi et K.Satori, Fast Stereo Matching Using Rectification and Correlation Techniques, ISCCSP, Second International Symposium on Communications, Control and Signal Processing, Marrakech, Morrocco, March 2006.
- J.Kovac, P.Peer and F.Solina, 2D versus 3D color space face detection, 4th EURASIP Conference on Video/Image Processing and Multimedia Communications, Croatia, pages 449-454, 2003.
- S. Tsekeridou and I. Pitas, Facial feature extraction in frontal views using biometric analogies, Proc. of the IX European Signal Processing Conference, vol. I, pages 315-318, 1998.
- H.BOUIROUGA, S.ELFKIHI, A.JILBAB, D.ABOUTAJDINE, Skin detection in pornographic videos using threshold technique, Journal of Theoretical and Applied Information Technology, Vol.35 No.1, 15th January 2012.
- D. Comaniciu, V. Ramesh, and P. Meer, Real-time tracking of non-rigid objects using mean shift. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Hilton Head, SC, volume II, pages 142-149, June, 2000.
- V. Gouet and B. Lameyre. SAP: A robust approach to track objects in video streams with snakes and points. British Machine Vision Conference, pages 737-746, 2004.
- V.VEZNEVETS, V.SAZONOV, A.ANDREEVA. A Survey on Pixel-Based Skin Color Detection Techniques. International Conference Graphicon, Moscow, Russia, 2003.
- M. Kim, J.G. Jeon, J.S. Kwak, M.H. Lee, and C. Ahn. Moving object segmentation in video sequences by user interaction and automatic object tracking. IVC, 19(5):245-260, April 2001.
- S. Pateux. Tracking of video objects using a backward projection technique. In Visual Conference on Image Processing, volume 4067, pages 1107-1114, Australia, 2000.
- L.Peihua, W.Haijing, Object Tracking with Particle Filter Using Color Information, Third International Conference, MIRAGE, Rocquencourt, France, pages 534-541, 2007.
- F.Zheyi, L.Mo, L.Zhiwen. An Improved Video Target Tracking Algorithm Based on Particle Filter and Mean-Shift. International Conference on Information Technology and Software Engineering, pages 409-418, 2013.
- S.Lefevre, N.Vincent. Real Time Multiple Object Tracking Based on Active Contours. International Conference, ICIAR, Proceedings, Part II, pages 606-613, 2004.
- Y.ZHAO, H.PEI. Object tracking based on particle filter with discriminative features. Journal of Control Theory and Applications, Volume 11, Issue 1, pages 42-53, February 2013.
- W.Jian; Y.Heng-jun; Yan-yan Cao; Zhi-ming Cui. Video Object Tracking Method Based on Normalized Cross correlation Matching. Distributed Computing and Applications to Business Engineering and Science (DCABES), pages 523-527, 2010.
- S.Patrick, V.Yap Vooi. Tracking Using Normalized Cross Correlation and Color Space. International Conference on Intelligent and Advanced Systems, pages 770-774, 2007.
- G. Castellano, J. Boyce, and M. Sandler. Regularized cdwt optical flow applied to moving target detection in IR imagery. Machine Vision and Applications, pages 277-288, 2000.
- V. Gouet and B. Lameyre. Object Tracking and Identification in Video Streams with Snakes and Points. Advances in Multimedia Information Processing - PCM 2004 Lecture Notes in Computer Science Volume 3333, pages 61-68, 2005.
- P. Gabriel, J.-B. Hayet, J. Piater, and J. Verly. Object tracking using color interest points. Advanced Video and Signal Based Surveillance, AVSS. IEEE Conference on, pages 159-164, 2005.
- C. Schmid and R. Mohr. Local grayvalue invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 530-534, May 1997.
- H.Lim, D.Kang, Object tracking system using a VSW algorithm based on color and point features, EURASIP Journal on Advances in Signal Processing, September 2011.
- K.Mikolajczyk, C.Schmid. Indexing based on scale invariant interest points. In International Conference on Computer Vision, Vancouver, Canada, July 2001.
- David G. Lowe. Distinctive image features from scale invariant keypoints. Accepted for publication int the International Journal of Computer Vision, 2004.
- P. Gabriel, J.-B. Hayet, J. Piater, and J. Verly. Utilisation des Points d'Interets Couleurs pour le Suivi d'Objets. Actes du Congres ORASIS, pages 159-164, 2005.
- V. Gouet and N. Boujemaa. About optimal use of color points of interest for content-based image retrieval. Internal Report, INRIA Rocquencourt, 2002.
- J. Harris and M. Stephens. A combined corner and edge detector. 4th ALVEY Vision Conference, pages 147-151, 1988.
- M.Lhuillier and L.Quan. Quasi-dense reconstruction from image sequence. ECCV, 2002.
- S.Chambon, A.Crouzil, M.El miziani, G.Lemarie, P. Le callet. Complementarite de mesures de correlation pour la mise en correspondance: 4TReconnaissance des Formes et. Intelligence Artificielle4T"4T, RFIA, 2010.
- M.A.Fischler, R.C.Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Graphics and Image Processing, Juin 1981.