A multimodal temporal panorama approach for moving vehicle detection, reconstruction and classification
An effective multimodal temporal panorama approach for moving vehicle detection and classification using a novel sensing system. A new audio-visual vehicle (AVV) dataset, which features audio-visual alignment, vehicle detection and reconstruction. Multimodal audio-visual feature extraction and selection with systematically study for multimodal feature integration.
av audio-visual (or audio-video) epi epipolar plane image hog histogram of oriented gradients ldv laser doppler vibrometer mfcc mel frequency cepstrum coefficients mtp multimodal temporal panorama ptz pan-tilt-zoom pvi panoramic view image sfs sequential forward selection