Optical flow using spatiotemporal filters

Cited by (533)

Items 201–300 of 533

1. A Parallel Noise-Robust Algorithm to Recover Depth Information from Radial Flow Fields
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2. Variable window Gabor filters and their use in focus and correspondence
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4. Neuromorphic implementation of motion detection using oscillation interference
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5. Spatiotemporal Motion Analysis for the Detection and Classification of Moving Targets
   Duan-Yu Chen, Kevin J. Cannons, Hsiao-Rong Tyan, Sheng-Wen Shih, H.-Y.M. Liao · 2008 · IEEE Transactions on Multimedia
6. Video Quality Assessment
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7. Computational methods for eye-tracking analysis: applications to autism
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8. On visual ambiguities due to transparency in motion and stereo
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9. Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
   Tony Lindeberg · 2002 · Lecture notes in computer science
10. Multiple motion analysis: in spatial or in spectral domain?
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11. A wavelet multiresolution analysis for spatio-temporal signals
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12. A contour-based recovery of image flow: Iterative transformation method
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13. Dynamic motion vision
    Joachim Heel · 1990 · Robotics and Autonomous Systems
14. A generalized motion model for estimating optical flow using 3-D Hermite polynomials
    Hongche Liu, Tsai-Hong Hong, Martin Herman, Rama Chellappa · 2002 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
15. Temporal Multi-Scale Models for Flow and Acceleration
    Yaser Yacoob, Larry Steven Davis · 1999 · International Journal of Computer Vision
16. SSTM: Spatiotemporal recurrent transformers for multi-frame optical flow estimation
    Fisseha Admasu Ferede, Madhusudhanan Balasubramanian · 2023 · Neurocomputing
17. Two Extensions of Data Assimilation by Field Alignment
    Sai Ravela · 2007 · Lecture notes in computer science
18. Fast motion estimation with search-center prediction
    H. Y. Chung, N.H.C. Yung, Paul Y. S. Cheung · 2001 · Optical Engineering
19. Color-based panoramic representation of outdoor environment for a mobile robot
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20. Deformation invariant image matching by spectrally controlled diffeomorphic alignment
    Christopher Minzer Yang, Sai Ravela · 2009 · IEEE/CVF International Conference on Computer Vision (ICCV)
21. A trajectory-based computational model for optical flow estimation
    Krishnendu Chaudhury, Rajiv Mehrotra · 1995 · IEEE Transactions on Robotics and Automation
22. Restricted ability to recover three-dimensional global motion from one-dimensional local signals: Theoretical observations
    Nava Rubin, Sorin Solomon, Shaul Hochstein · 1995 · Vision Research
23. Ranging through Gabor logons-a consistent, hierarchical approach
    Chienchung Chang, Sandip Chatterjee · 1993 · IEEE Transactions on Neural Networks
24. Interpretation of image sequences by spatio-temporal analysis
    S.-L. Peng, Gérard G. Medioni · 2003 · IEEE Workshop on Visual Motion
25. Optical snow and the aperture problem
    Richard Mann, Michael Langer · 2003
26. Spatio-temporal approach for time-varying image motion estimation
    Wei-Ge Chen, Georgios B. Giannakis, N. Nandhakumar · 2002 · Proceedings - International Conference on Image Processing
27. Estimation of motion from sequential images using integral constraints
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28. Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies
    Kevis Maninis, Petros Koutras, Petros A. Maragos · 2014 · Proceedings - International Conference on Image Processing
29. Learning Pixel-Wise Signal Energy for Understanding Semantics
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30. Narrow directional steerable filters in motion estimation
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31. Estimation of complex motion from thermographic image sequences
    Christoph S. Garbe, Hagen Spies, Bernd Jaehne · 2003 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
32. High resolution low cost imaging system for particle projection analysis: application to fertilizer centrifugal spreading
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33. Optical Flow
    Florian Becker, Stefania Petra, Christoph Schnörr · 2015 · Springer eBooks
34. Image velocity estimation from trajectory surface in spatiotemporal space
    Kazuhiro Otsuka, T. Horikoshi, Satoshi Suzuki · 2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
35. A new gradient-based optical flow method and its application to motion segmentation
    Yang Chunke, Shunitiro Oe · 2002 · Annual Conference of the IEEE Industrial Electronics Society (IECON)
36. Transparent-motion analysis
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37. Computer-assisted cel animation
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38. A Bio-Inspired, Motion-Based Analysis of Crowd Behavior Attributes Relevance to Motion Transparency, Velocity Gradients, and Motion Patterns
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39. A fast incremental approach for accurate measurement of the displacement field
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40. Fingerprint enhancement by directional filtering
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41. Optical flow-based representation for video action detection
    Samet Akpınar, Ferda Nur Alpaslan · 2014 · Elsevier eBooks
42. Optic Flow and Autonomous Navigation
    M. Campani, Andrea Giachetti, Vincent Torre · 1995 · Perception
43. Real-time tracking for an integrated face recognition system
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44. Real Time Fusion of Motion and Stereo Using Flow/Depth Constraint for Fast Obstacle Detection
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45. Motion based vehicle detection on motorways
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46. Four-dimensional processing of deformable cardiac PET data
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47. Oriented structure of the occlusion distortion: is it reliable?
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48. Motion-Model-Based Boundary Extraction and a Real-Time Implementation
    Hongche Liu, Tsai-Hong Hong, Martin Herman, Rama Chellappa · 1998 · Computer Vision and Image Understanding
49. A scalar function formulation for optical flow: applications to X-ray imaging
    Amir A. Amini · 2002
50. Temporal surface reconstruction
    Joachim Heel · 2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
51. A multiscale description of image structure for segmentation of biomedical images
    J.M. Coggins · 2002 · Conference on Visualization in Biomedical Computing (VBC)
52. A spatiotemporal energy model based on spiking neurons for human motion perception
    Hayat Yedjour, Dounia Yedjour · 2024 · Cognitive Neurodynamics
53. A low-cost 3D human interface device using GPU-based optical flow algorithms
    Rafael del Riego, José Otero, José Ranilla · 2011 · Integrated Computer-Aided Engineering
54. Attending to Motion: Localizing and Classifying Motion Patterns in Image Sequences
    John K. Tsotsos, Marc Pomplun, Yueju Liu, Julio Martínez-Trujillo, Evgueni Simine · 2002 · Lecture notes in computer science
55. Fusion of Frequency and Spatial Domain Information for Motion Analysis
    Alexia Briassouli, Narendra Ahuja · 2004
56. Left ventricular MRI wall motion assessment by monogenic signal amplitude image computation
    Narjes Benameur, Enrico Gianluca Caiani, Martino Alessandrini, Younes Arous, Nejmeddine ben Abdallah, Foued Saâdaoui, Tarek Kraiem · 2018 · Magnetic Resonance Imaging
57. Motion Analysis of 3D Ultrasound Texture Patterns
    Weichuan Yu, Ning Lin, Ping Yan, Purushothaman Kailasnath, Albert J. Sinusas, Karl E. Thiele, James S. Duncan · 2003 · Lecture notes in computer science
58. Temporal multi-scale models for flow and acceleration
    Yaser Yacoob, L.S. Davis · 2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. Three dimensional orientation signatures with conic kernel filtering for multiple motion analysis
    Weichuan Yu, Gerald Sommer, Kostas Daniilidis · 2003 · Image and Vision Computing
60. Automatic extraction and measurement of leukocyte motion in microvessels using spatiotemporal image analysis
    Yoshinobu Sato, Reza A. Zoroofi, Jian Chen, N. Harada, Shinichi Tamura, T. Shiga · 2002
61. Planetary terminal descent hazard avoidance using optical flow
    William Hoff, Cheryl W. Sklair · 2002 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
62. Integrating moving edge information along a 2D trajectory in densely sampled imagery
    P. Kahn · 2003 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
63. Spatial inference for coherent geophysical fluids by appearance and geometry
    Sai Ravela · 2014 · IEEE Winter Conference on Applications of Computer Vision
64. SPECTRUM-BASED OBJECT DETECTION AND TRACKING TECHNIQUE FOR DIGITAL VIDEO SURVEILLANCE
    B. V. Vishnyakov, Yu. V. Vizilter, Vladimir Alexandrovich Knyaz · 2012 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
65. Adaptive pattern correlation for two-dimensional blood flow measurements
    Liangmin Wang, Koping Kirk Shung · 1996 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
66. How Do Neural Networks Estimate Optical Flow A Neuropsychology-Inspired Study
    David Benjamin De Jong, Federico Paredes-Vallés, Guido de Croon · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
67. Fusion of frequency and spatial domain information for motion analysis
    Alexia Briassouli, Narendra Ahuja · 2004 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
68. Fast Algorithms for Stereo Matching and Motion Estimation
    Changming Sun · 2003
69. DEVELOPMENT OF THE DIGITAL IMAGE CORRELATION METHOD TO STUDY DEFORMATION AND FRACTURE PROCESSES OF STRUCTURAL MATERIALS
    2019 · PNRPU Mechanics Bulletin
70. Image Registration Accuracy Estimation Without Ground Truth Using Bootstrap
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71. Motion
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72. Networks for image analysis: motion and texture
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73. Multiple optical flow—fundamental constraint equations and a unified computational theory for detecting motion transparency and motion boundaries
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74. On local detection of moving edges
    Taejin Hwang, James J. Clark · 2002 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
75. Statistical biases in optic flow
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76. A general motion model and spatio-temporal filters for 3-D motion interpretations
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77. A robust object tracking synthetic structure using regional mutual information and edge correlation-based tracking algorithm in aerial surveillance application
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78. Force Estimation and Prediction from Time-Varying Density Images
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79. Optic Flow from Multi-scale Dynamic Anchor Point Attributes
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80. A guide to digital image stabilization procedure — An overview
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81. Auroral event representation based on the n-ary fusion of multiple oriented energies
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82. Robust optical flow estimation involving exponential fractional-order derivatives
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83. A neural scheme for optical flow computation based on Gabor filters and generalized gradient method
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84. Supervised Motion Segmentation by Spatial-Frequential Analysis and Dynamic Sliced Inverse Regression
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85. Analog‐VLSI, array‐processor‐based, Bayesian, multi‐scale optical flow estimation
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87. A spatio-temporal generalization of Canny's edge detector
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88. Deep oscillatory neural network
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89. Dynamic Data-driven Deformable Reduced Models for Coherent Fluids
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90. A Hybrid PIV/Optical Flow Method for Incompressible Turbulent Flows
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91. Classification and segmentation of vector flow fields using a neural network
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92. Using skew Gabor filter in source signal separation and local spectral orientation analysis
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93. 3D Hermite Transform Optical Flow Estimation in Left Ventricle CT Sequences
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94. Bioinspired approach-sensitive neural network for collision detection in cluttered and dynamic backgrounds
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95. Motion processing with wide-field neurons in the retino-tecto-rotundal pathway
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96. Motion-model-based boundary extraction
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97. An Asymmetrical Diffusion Framework for Junction Analysis
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98. A probabilistic sensor for the perception of activities
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99. A Neurally-Inspired Model for Detecting and Localizing Simple Motion Patterns in Image Sequences
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100. Vision for Mobile Robots
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