This letter presents a multi-modal approach to tracking geographic objects such as buildings and road signs in a video sequence recorded from a moving vehicle. In the proposed approach, photogrammetric techniques are successfully combined with conventional tracking methods. More specifically, photogrammetry combined with positioning technologies is used to obtain 3-D coordinates of chosen geographic objects, providing a search area for conventional feature trackers. In addition, we present an adaptive window decision scheme based on the distance between chosen objects and a moving vehicle. Experimental results are provided to show the robustness of the proposed approach.
CITATION STYLE
Hwang, T. H., Cho, S. L., Park, J. H., & Choi, K. H. (2006). Object tracking for a video sequence from a moving vehicle: A multi-modal approach. ETRI Journal, 28(3), 367–370. https://doi.org/10.4218/etrij.06.0205.0045
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