Computation of component image velocity from local phase information
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reliable and Efficient Computation of Optical Flow
International Journal of Computer Vision
International Journal of Computer Vision
Hierarchical Estimation and Segmentation of Dense Motion Fields
International Journal of Computer Vision
Skin and Bones: Multi-layer, Locally Affine, Optical Flow and Regularization with Transparency
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Human Action Recognition Using Optical Flow Accumulated Local Histograms
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
iWalk: a tool for interacting with geo-located data through movement and gesture
Proceedings of the international conference on Multimedia
From saliency to eye gaze: embodied visual selection for a pan-tilt-based robotic head
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
3D saliency for abnormal motion selection: the role of the depth map
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Eigenspace-based fall detection and activity recognition from motion templates and machine learning
Expert Systems with Applications: An International Journal
Videoscapes: exploring sparse, unstructured video collections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Multimodal detection of salient behaviors of approach-avoidance in dyadic interactions
Proceedings of the 14th ACM international conference on Multimodal interaction
Arm gesture variations during presentations are correlated with conjunctions indicating contrast
Proceedings of the 2012 ACM workshop on User experience in e-learning and augmented technologies in education
Trajectory-Based modeling of human actions with motion reference points
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Evaluating the impact of frame rate on video based human action recognition
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Dynamic saliency models and human attention: a comparative study on videos
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Surround-see: enabling peripheral vision on smartphones during active use
Proceedings of the 26th annual ACM symposium on User interface software and technology
Human action recognition with salient trajectories
Signal Processing
River trail: a path to parallelism in JavaScript
Proceedings of the 2013 ACM SIGPLAN international conference on Object oriented programming systems languages & applications
Modeling of human attention based on analysis of magic
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Keep it simple and sparse: real-time action recognition
The Journal of Machine Learning Research
Robust action recognition using local motion and group sparsity
Pattern Recognition
Activity representation with motion hierarchies
International Journal of Computer Vision
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This paper presents a novel two-frame motion estimation algorithm. The first step is to approximate each neighborhood of both frames by quadratic polynomials, which can be done efficiently using the polynomial expansion transform. From observing how an exact polynomial transforms under translation a method to estimate displacement fields from the polynomial expansion coefficients is derived and after a series of refinements leads to a robust algorithm. Evaluation on the Yosemite sequence shows good results.