@conference {12595,
	title = {Joint Acoustic-Video Fingerprinting of Vehicles, Part I},
	booktitle = {Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on},
	volume = {2},
	year = {2007},
	month = {2007/04//},
	pages = {II-745 -II-748 - II-745 -II-748},
	abstract = {We address vehicle classification and measurement problems using acoustic and video sensors. In this paper, we show how to estimate a vehicle{\textquoteright}s speed, width, and length by jointly estimating its acoustic wave-pattern using a single passive sensor that records the vehicle{\textquoteright}s drive-by noise. The acoustic wave-pattern is approximated using three envelope shape (ES) components, which approximate the shape of the received signal{\textquoteright}s power envelope. We incorporate the parameters of the ES components along with the estimates of the vehicle engine RPM and number of cylinders to create a vehicle profile vector that forms an intuitive discriminatory feature space. In the companion paper, we discuss vehicle classification and mensuration based on silhouette extraction and wheel detection, using a video sensor. Vehicle speed estimation and classification results are provided using field data.},
	keywords = {acoustic, acoustic-video, components;joint, detection;acoustic, estimation;video, fingerprinting;passive, processing;, processing;acoustic, sensor;vehicle, sensors;acoustic, sensors;wheel, SHAPE, signal, speed, transducers;video, wave-pattern;envelope},
	doi = {10.1109/ICASSP.2007.366343},
	author = {Cevher, V. and Chellapa, Rama and McClellan, J.H.}
}
