Rotation-invariant object detection using Sector-ring HOG and boosted random ferns.
Baozhen LiuHang WuWeihua SuWenchang ZhangJinggong SunPublished in: Vis. Comput. (2018)
Keyphrases
- rotation invariant
- object detection
- rotation invariance
- texture analysis
- pedestrian detection
- texture classification
- histograms of oriented gradients
- face detection
- local binary pattern
- histogram of oriented gradients
- feature vectors
- scale invariance
- human detection
- texture features
- computer vision
- multi class
- zernike moments
- thinning algorithm
- shape context
- object recognition
- texture image retrieval
- background subtraction
- texture images
- dominant orientation
- hog features
- random forests
- training data
- scale and rotation invariant
- gabor filters
- co occurrence
- steerable pyramid
- post processing
- multiscale
- feature extraction