Evaluating the Performance of Ensemble Methods and Voting Strategies for Dense 2D Pedestrian Detection in the Wild.
Aboli MaratheRahee WalambeKetan KotechaPublished in: ICCVW (2021)
Keyphrases
- pedestrian detection
- ensemble methods
- benchmark datasets
- majority voting
- human body
- random forests
- prediction accuracy
- human detection
- ensemble learning
- detection rate
- object detection
- decision trees
- histograms of oriented gradients
- base classifiers
- machine learning methods
- classifier ensemble
- bootstrap sampling
- ensemble classifier
- pose estimation
- machine learning algorithms
- viewpoint
- artificial neural networks
- moving objects
- data mining