Other Pattern

Texture Pattern Flow (TPF) (3 papers)

B. Zhong, X. Hong, H. Yao, S. Shan, X. Chen, W. Gao, "Texture and Motion Pattern Fusion for Background Subtraction", 11th Joint Conference on Information Sciences, 2008.

B. Zhang, Y. Gao, S. Zhao, B. Zhong, "Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background", IEEE Transactions on Circuits and Systems for Video Technology, Volume 21, No. 1, pages 29-38, January 2011.

B. Zhang, B. Zhong , Y. Cao, "Complex background modeling based on Texture Pattern Flow with adaptive threshold propagation", Journal of Visual Communication And Image Representation, pages 516-521, 2011.

Binary Map (1 paper)

H. Lai, C. Lin, M. Chen, L. Kang, C. Yeh, "Moving Objects Detection Based on Hysteresis Thresholding", Advances in Smart Innovation, Systems and Technologies, Volume 21, pages 289-298, 2013.

Texton (2 papers)

C. Spampinato, S. Palazzo, I. Kavasidis, “A texton-based kernel density estimation approach for background modeling under extreme conditions”, Computer Vision and Image Understanding, CVIU 2014, 2014.

D. Panda, S. Meher, “Dynamic Background Subtraction Using Texton Co-occurrence Matrix”, IEEE India Conference Emerging Trends and Innovation in Technology, INDICON 2014, India, December 2014.

Galaxy Pattern (2 papers)

W. Liu, S. Lin, M. Yang, C. Huang, "Real-Ttme binary descriptor based background modeling", IAPR Asian Conference on Pattern Recognition, pages 722-726, November 2013.

M. Yang, C. Huang, W. Liu, S. Lin, K. Chuang, "Binary descriptor based nonparametric background modeling for foreground extraction using detection theory", IEEE Transactions on Circuits and Systems for Video Technology, 2014.

Structure Texture (2 papers)

O. Elharrouss, H. Tairi, D. Moujahid, “Motion detection based on the combining of the Background Subtraction and the Structure-Texture Decomposition”, Optik - International Journal for Light and Electron Optics, 2015.

S. Seringa, "Motion Segmentation based on Structure-Texture Decomposition and Improved Three Frame Differencing", International Federation for Information Processing, pages 609-622, 2019.