Gender classification in low-resolution surveillance video: in-depth comparison of random forests and SVMs.
Christopher D. GeelenRob G. J. WijnhovenGijs DubbelmanPeter H. N. de WithPublished in: Video Surveillance and Transportation Imaging Applications (2015)
Keyphrases
- random forests
- low resolution
- depth images
- gender classification
- surveillance videos
- high resolution
- super resolution
- random forest
- depth map
- support vector
- logistic regression
- decision trees
- video data
- facial images
- machine learning algorithms
- multi camera
- face databases
- video surveillance
- face images
- ensemble methods
- object tracking
- video sequences
- high quality
- training set
- face recognition
- computer vision
- data sets
- image classification
- multi class
- feature selection
- knn
- training data
- learning algorithm
- feature space
- optical flow
- support vector machine
- human activities
- benchmark datasets
- maximum likelihood