Joint Acoustic-Video Fingerprinting of Vehicles, Part II
Title | Joint Acoustic-Video Fingerprinting of Vehicles, Part II |
Publication Type | Conference Papers |
Year of Publication | 2007 |
Authors | Cevher V, Guo F, Sankaranarayanan AC, Chellappa R |
Conference Name | Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on |
Date Published | 2007/04// |
Keywords | acoustic-video, analysis;video, approximations;acoustic, Bayesian, colour, density, efficiency;joint, estimation;Bayes, fingerprinting;metrology, framework;Laplacian, functions;performance, fusion;color, identification;image, invariants;computational, methods;acoustic, metrology;acoustic, processing;, processing;fingerprint, signal, video |
Abstract | In this second paper, we first show how to estimate the wheelbase length of a vehicle using line metrology in video. We then address the vehicle fingerprinting problem using vehicle silhouettes and color invariants. We combine the acoustic metrology and classification results discussed in Part I with the video results to improve estimation performance and robustness. The acoustic video fusion is achieved in a Bayesian framework by assuming conditional independence of the observations of each modality. For the metrology density functions, Laplacian approximations are used for computational efficiency. Experimental results are given using field data |
DOI | 10.1109/ICASSP.2007.366344 |