Advanced local binary pattern descriptors for crowd estimation

Proceedings - 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA 2008

Volumn 2, Issue , 2008, Pages 958-962

  Wenhua, Ma ^a,b   Lei, Huang ^a   Changping, Liu ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTOR; DESCRIPTORS; FEATURE DIMENSIONS; GRAY-SCALE; LBP OPERATORS; LOCAL BINARY PATTERNS; MULTI LAYERS; PIXEL DOMAINS; PRACTICAL PROBLEMS;

ARTIFICIAL INTELLIGENCE; CONTENT BASED RETRIEVAL; INTELLIGENT CONTROL;

INDUSTRIAL APPLICATIONS;

EID: 63149157447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACIIA.2008.258     Document Type: Conference Paper

References (9)

1. M. Pietikainen T. Ojala and D. Harwood. A comparative study introduction of texture measures with classification based on feature distributions. Pattern Recognition, 29(7):51-59, January 1996.
2. M. Pietikainen T. Ahonen, A. Hadid. Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell., 28(12):2037-2041, 2006.
3. M. Pietikainen Marko Heikkila. A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell., 28(4):657-662, 2006.
4. T.Maenpaa T. Ojala, M. Pietikainen. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell., 24(7):971-987, 2002.
5. In-So Kweon Dong-Su Kim, Wang-Heon Lee. Automatic edge detection using 3 × 3 ideal binary pixel patterns and fuzzy based edge thresholding. IEEE Trans. Pattern Anal. Mach. Intell., 24(7):971-987, 2002.
6. A. Marana, L. da Costa, R. Lotufo, and S. Velastin. On the efficacy of texture analysis for crowd monitoring. SIBGRAPHI'98: Proceedings of the International Symposium on Computer Graphics, Image Processing, and Vision, pages 354-361, 1998.
7. Hai Tao Dan Kong, Doug Gray. Counting pedestrians in crowds using viewpoint invariant training. Proceedings British Machine Vision Conference, 2005.
8. Xinyu Wu, Guoyuan Liang, Ka Keung Lee, and Yangsheng XU. Crowd density estimation using texture analysis and learning. IEEE Transactions on System, Man, and Cybernetics, 31(6):645-654, 2001.
9. Xin Chen and Charles H. Reynolds. Performance of similarity measures based on histograms of local image feature vectors. Computer Science, 42(6):1407-1414, 2002.