Head Pose recognition in near real-time videos and static images
This code can be used to train your own KNN or Naive Bayes classifier for head pose recognition. The head poses recognized are Left, Right and Straight. ImageTest.m uses an already trained classifier to recognize head poses in images and VideoTest.m uses the same for near real-time video. See ReadMe.txt file in Classifier Training folder for more details on how to train your own KNN or naive Bayes classifier.
Cite As
Ishwarya Iyengar (2024). Head Pose recognition in near real-time videos and static images (https://www.mathworks.com/matlabcentral/fileexchange/50929-head-pose-recognition-in-near-real-time-videos-and-static-images), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Semantic Segmentation >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Near real-time and Static Head Pose Recognition/
Near real-time and Static Head Pose Recognition/ClassifierTraining/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Test/Left/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Test/Right/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Test/Straight/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Training/Left/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Training/Right/
Near real-time and Static Head Pose Recognition/ClassifierTraining/Training/Straight/
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |