Research on real-time object tracking by improved CamShift

Proceedings - 1st International Symposium on Computer Network and Multimedia Technology, CNMT 2009

Volumn , Issue , 2009, Pages

  Yin, Jianqin ^a   Han, Yanbin ^a   Li, Jinping ^a   Cao, Aizeng ^a  

^a UNIVERSITY OF JINAN   (China)

Author keywords

Color histogram; LBP; Object tracking

Indexed keywords

ADAPTIVE MEAN SHIFTS; CAMSHIFT; COLOR HISTOGRAM; COLOR INFORMATION; COMPLEX BACKGROUND; DESCRIPTORS; LOCAL BINARY PATTERNS; OBJECT TRACKING; PERMUTATION GROUP; PROBABILITY DENSITY DISTRIBUTION; REAL-TIME OBJECT TRACKING; TRACKING PERFORMANCE;

COLOR; DISTRIBUTION FUNCTIONS; GRAPHIC METHODS; IMAGE RETRIEVAL; IMAGE SEGMENTATION; INTERNET; PROBABILITY DENSITY FUNCTION; ROTATION;

TARGET TRACKING;

EID: 77949458384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNMT.2009.5374528     Document Type: Conference Paper

References (17)

1. L.Marecenaro, M.Ferrari, L.Marchesottl and C.S.Regazzoni. "Multiple object tracking under heavy occlusions by using kalman filter based on shape matching", Proceedings of International Conference on Image Processing, Rechester, New York, no.3,pp.341-344,2002.
2. V.Gemignani,M.Paterni,A.Benassi,M.Demi. "Real-time contour tracking with a new edge detector", Real-Time Imaging,vol.10,no.2, pp.103-116,2004.
3. Shih,Ming-Yu,Tseng,Din-Chang. "A wavelet based multi resolution edge detection and tracking",Image and Vision Computing, vol.23, no.4, pp.441-451,2005.
4. Yu Qifeng,Zhang Xiaohu,Lu Hongwei. "Sun Xiangyi.Image sequence analysis system and a target-tracking algorithm with correlation and improved SUSAN filtering", Proceedings of SPIE - The International Society for Optical Engineering, pp.124-131,2000
5. S.Kang,B.W.Hwang,S.W.Lee. "Multiple people tracking based on temporal color feature", Pattern Recognition and Artificial Intelligence, vol.17,no.6, pp.931-949, 2003.
6. Zikovic Zoran,Krose Ben.."An EM-like algorithm for color-histogram based object tracking", IEEE Computer Society Conference on Computer Vision and Pattern Recognition[C],Washington, DC, USA, pp.1798-1803, 2004.
7. C.Rider,O.Munkelt,H.Kirchner. "Adaptive background estimation and foreground detection using kalman-filtering", Proceedings of International Conference on Recent Advances in Mechatronics.Turkey, pp.193-199, 1995.
8. Matthews I,Ishikawa T,Baker S. "The template update problem", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol.26, no.6, pp.810-815, 2004.
9. Avidan S. "Support vector tracking", IEEE Transaction on Pattern Analysis and Machine Intelligence,vol.26, no.8, pp.1064-1072,2004.
10. Nguyen H,Smeulders A.Baker S. "The template update problem", IEEE Transaction on Pattern Analysis and Machine Intelligence,vol.26, no.6, pp.810-815, 2004.
11. Y Zhong,A Jain,J.M.Dubuisson. "Object tracking using deformable templates", vol.22, no.5, pp.544-549,2000.
12. Peterfreund N."Robust tracking of position and velocity with Kalman snakes", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.6,pp.564-569,2000.
13. Freedman D,Zhang T. "Active Contours for tracking distributions", IEEE Transactions on Image Processing,vol.13,no.4, pp.518-526,2004.
14. Aggarwal J K,Cai Q. "Human motion analysis", Computer Vision and Image Understanding, vol.73, no.3:428-440,1999.
15. Koller D,Daniilidis K,Nagel H. "Model-based object tracking in monocular image sequences of road traffic scene", International Journal of Computer Vision,vol.10, no.3, pp.257-281 ,1993
16. Comaniciu D, Ramesh V. "Kernel-based object tracking", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, no.5,:564-577,2003.
17. Ojala T, Pietiknen M, Harwood D. "A comparative study of texture measures with classiffication based on feature distributions", Pattern Recognition, vol.29,pp.51-59, 1999.