Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Artificial_Intelligence
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Takeo_Kanade
|
| gptkbp:adapted_into |
real-time applications
low-light conditions |
| gptkbp:applies_to |
gptkb:Photographer
gptkb:robot computer vision |
| gptkbp:based_on |
brightness constancy assumption
|
| gptkbp:can_be_extended_by |
3 D motion estimation
|
| gptkbp:can_be_used_with |
machine learning techniques
|
| gptkbp:controls |
small displacements
|
| gptkbp:developed_by |
gptkb:Takeo_Kanade
|
| gptkbp:first_introduced |
gptkb:1980s
|
| https://www.w3.org/2000/01/rdf-schema#label |
Kanade's algorithm
|
| gptkbp:improves |
accuracy of motion estimation
|
| gptkbp:input_output |
motion vectors
|
| gptkbp:is_challenged_by |
non-rigid motion
|
| gptkbp:is_compared_to |
Horn-Schunck method
Lucas-Kanade method dense optical flow methods |
| gptkbp:is_documented_in |
gptkb:Research_Institute
|
| gptkbp:is_enhanced_by |
multi-scale approaches
|
| gptkbp:is_evaluated_by |
performance metrics
real-world scenarios ground truth data error metrics |
| gptkbp:is_explored_in |
gptkb:academic_research
thesis works |
| gptkbp:is_implemented_in |
gptkb:MATLAB
gptkb:Open_CV various programming languages |
| gptkbp:is_influenced_by |
signal processing methods
optical flow theory |
| gptkbp:is_integrated_with |
deep learning models
|
| gptkbp:is_often_used_in |
video analysis
|
| gptkbp:is_part_of |
image analysis techniques
image processing workflows motion analysis techniques motion detection systems optical flow methods |
| gptkbp:is_related_to |
feature tracking
|
| gptkbp:is_supported_by |
theoretical foundations
|
| gptkbp:is_tested_for |
various datasets
synthetic datasets real-time video streams |
| gptkbp:is_used_for |
gesture recognition
scene reconstruction object tracking optical flow estimation |
| gptkbp:is_used_in |
augmented reality
surveillance systems |
| gptkbp:is_utilized_in |
gptkb:engine
|
| gptkbp:performance |
new algorithms
|
| gptkbp:requires |
image sequences
|
| gptkbp:sensor |
illumination changes
|
| gptkbp:utilizes |
gradient information
|