Object Detection in Aerial Navigation using Wavelet Transform and Convolutional Neural Networks: A First Approach.
Juan Manuel Fortuna-CervantesMarco Tulio Ramírez-TorresJosé Martínez-CarranzaJosé S. Murguía IbarraMarcela Mejía-CarlosPublished in: Program. Comput. Softw. (2020)
Keyphrases
- convolutional neural networks
- wavelet transform
- object detection
- convolutional network
- image coding
- multiresolution
- image compression
- multiscale
- high frequency
- face detection
- wavelet coefficients
- scene understanding
- subband
- object recognition
- computer vision
- wavelet domain
- information space
- object categories
- scene recognition
- indoor environments
- multi resolution analysis
- navigation systems
- wavelet analysis
- feature extraction
- aerial images
- wavelet filters
- multiresolution analysis
- aerial photographs
- multi class
- object detectors
- low frequency
- pedestrian detection
- lifting scheme
- vehicle tracking
- coarse to fine
- background subtraction
- translation invariant
- satellite images
- wavelet bases
- deformable part models