Moving object classification using local shape and HOG features in wavelet-transformed space with hierarchical SVM classifiers

- An integrated system that segments and classifies four moving objects.
- A weight mask is proposed to enhance the distinguishing pixels in a segmented object.
- A new classification feature vector extracted from a wavelet-transformed space.
- A hierarchical linear support vector machine classification configuration is proposed.