Kanade's algorithm

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:Artificial_Intelligence
gptkbp:adapted_into real-time applications
low-light conditions
gptkbp:applies_to computer vision
gptkbp:based_on brightness constancy assumption
gptkbp:can_be_combined_with machine learning techniques
gptkbp:can_be_extended_by 3 D motion estimation
gptkbp:can_handle 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_applied_in gptkb:medical_imaging
gptkb:robotics
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:academic_journals
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
gptkbp:is_used_in augmented reality
surveillance systems
gptkbp:is_utilized_in gptkb:vehicles
gptkbp:performance new algorithms
gptkbp:requires image sequences
gptkbp:sensitivity illumination changes
gptkbp:used_for optical flow estimation
gptkbp:utilizes gradient information
gptkbp:bfsParent gptkb:Takeo_Kanade
gptkbp:bfsLayer 6