Open AccessObject Tracking for a Video Sequence from a Moving Vehicle: A Multi‐modal Approach
Author(s) -
Hwang TaeHyun,
Cho SeongIck,
Park JongHyun,
Choi KyoungHo
Publication year - 2006
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.06.0205.0045
Subject(s) - computer vision , modal , artificial intelligence , robustness (evolution) , photogrammetry , computer science , video tracking , bittorrent tracker , sequence (biology) , object (grammar) , geography , eye tracking , biochemistry , chemistry , polymer chemistry , gene , genetics , biology
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.