Local Ternary Pattern

S. Liao, G. Zhao, V. Kellokumpu, M. Pietikäinen, S. Li. “Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes”, International Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, USA, June 2010.

Z. Zhang, B. Xiao, C. Wang ,W. Zhou, S. Liu, “Background modeling by exploring multi-scale fusion of texture and intensity in complex scenes”, Asian Conference on Pattern Recognition, ACPR 2011, pages 402-406, November 2011.

Z. Zhang, C. Wang B. Xiao, S. Liu W. Zhou, “Multi-scale Fusion of Texture and Color for Background Modeling”, International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012, September 2012.

F. Ma, N. Sang, “Background Subtraction Based on Multi-Channel SILTP”, Asian Conference on Computer Vision, ACCV 2012, Daejeon, Korea, November 2012.

Y. Xu, “Moving Object Segmentation by Pursuing Local Spatio-Temporal Manifolds”, 2013.

L. Lin, Y. Xu, X. Liang, J. Lai, “Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models”, IEEE Transactions on Circuits and Systems For Video Technology, 2013.

Z. Ji, W. Wang, “Detect foreground objects via adaptive fusing model in a hybrid feature space”, Pattern Recognition, March 2014.

H. Wu, N. Liu, X. Luo, J. Su, L. Chen, “Real-time background subtraction-based video surveillance of people by integrating local texture patterns”, Signal, Image and Video Processing, pages 665-676, 2014.

K. Chan, "Background modelling using perception-based local pattern", International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2016, pages 253 - 260, Plzen, Czech Republic, 2016.

K. Chan, "Detection of change in video based on local pattern and photometric features", International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2018, Plzen, Czech Republic, 2018.

K. Chan, "Segmentation of moving objects in image sequence based on perceptual similarity of local texture and photometric features", EURASIP Journal on Image and Video Processing, 2018.

J. Dorazil, K. Ríha, M. Dutta, A. Singh, "Change detection in presence of registration error using LTP histograms", IEEE International Conference on Telecommunications and Signal Processing, TSP 2018, pages 1-4, Athens, Greece, 2018.

S. Vasamsetti, N. Mittal, B. Neelapu, H. Sardana, "3D Local Spatio-temporal Ternary Patterns for Moving Object Detection in Complex Scenes", Cognitive Computation, September 2018.

S. Mohanty, S. Rup, "On the Development of Foreground Detection under Complex Background", IEEE International Conference on Signal Processing and Integrated Networks, SPIN 2021, pages 70-75, 2021.

K. Kalirajan, K. Balaji, “Opponent colour median-based scale invariant local ternary pattern: a new feature descriptor for moving object detection”, The Imaging Science Journal,  2023.