Image and Vision Computing
Performance of optical flow techniques
International Journal of Computer Vision
The use of optical flow for the autonomous navigation
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Robust computation of optical flow in a multi-scale differential framework
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Improved Accuracy in Gradient-Based Optical Flow Estimation
International Journal of Computer Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Accuracy vs. Efficiency Trade-offs in Optical Flow Algorithms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Real-Time Implementation of an Optical Flow Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Datacube MV200 and ImageFlow User''s Guide
Datacube MV200 and ImageFlow User''s Guide
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Analysis of Persistent Motion Patterns Using the 3D Structure Tensor
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
International Journal of Computer Vision
Estimation of travel distance from visual motion in virtual environments
ACM Transactions on Applied Perception (TAP)
Superpipelined high-performance optical-flow computation architecture
Computer Vision and Image Understanding
Hybrid algorithm for segmentation and tracking in surveillance
ROBIO '09 Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Two-Frame Optical Flow Formulation in an Unwarping Multiresolution Scheme
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Optimization strategies for high-performance computing of optical-flow in general-purpose processors
IEEE Transactions on Circuits and Systems for Video Technology
Block-based motion field segmentation for video coding
Journal of Visual Communication and Image Representation
A VLSI architecture and algorithm for Lucas-Kanade-based optical flow computation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Robust bioinspired architecture for optical-flow computation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Variational optic flow on the Sony PlayStation 3
Journal of Real-Time Image Processing
Fine grain pipeline architecture for high performance phase-based optical flow computation
Journal of Systems Architecture: the EUROMICRO Journal
Spatio-Temporal Optical Flow Analysis for People Counting
AVSS '10 Proceedings of the 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance
A two-stage dynamic model for visual tracking
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Motion-based unusual event detection in human crowds
Journal of Visual Communication and Image Representation
Video-rate stereo depth measurement on programmable hardware
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Computers
Accurate dense optical flow estimation using adaptive structure tensors and a parametric model
IEEE Transactions on Image Processing
Domain decomposition for variational optical-flow computation
IEEE Transactions on Image Processing
FPGA-based real-time optical-flow system
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
A phase-based approach to the estimation of the optical flow field using spatial filtering
IEEE Transactions on Neural Networks
Parallel architecture for hierarchical optical flow estimation based on FPGA
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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This paper presents a novel hardware-friendly motion estimation for real-time applications such as robotics or autonomous navigation. Our approach is based on the well-known Lucas & Kanade local algorithm, whose main problem is the unreliability of its estimations for large-range displacements. This disadvantage is solved in the literature by adding the sequential multiscale-with-warping extension, although it dramatically increases the computational cost. Our choice is the implementation of a multiresolution scheme that avoids the warping computation and allows the estimation of large-range motion. This alternative allows the parallel computation of the scale-by-scale motion estimation which makes the whole computation lighter and significantly reduces the processing time compared with the multiscale-with-warping approach. Furthermore, this last fact also means reducing the hardware resource cost for its potential implementation in digital hardware devices such as GPUs, ASICs, or FPGAs. In the discussion, we analyze the speedup of the multiresolution approach compared to the multiscale-with-warping scheme. For an FPGA implementation, we obtain a reduction of latency between 40% and 50% and a resource reduction of 30%. The final solution copes with large-range motion estimations with a simplified architecture very well-suited for customized digital hardware datapath implementations as well as current multicore architectures.