Pedestrian detection via PCA filters based convolutional channel features.
Wei KeYao ZhangPengxu WeiQixiang YeJianbin JiaoPublished in: ICASSP (2015)
Keyphrases
- pedestrian detection
- human body
- histograms of oriented gradients
- feature extraction
- benchmark datasets
- object detection
- principal component analysis
- principal components
- feature space
- feature vectors
- co occurrence
- pedestrian tracking
- adaboost classifier
- occlusion handling
- detection rate
- feature set
- computer vision
- image features
- training set
- object recognition
- face recognition
- haar wavelets
- three dimensional