@conference {11897, title = {Identifying and segmenting human-motion for mobile robot navigation using alignment errors}, booktitle = {12th International Conference on Advanced Robotics, 2005. ICAR {\textquoteright}05. Proceedings}, year = {2005}, month = {2005/07//}, pages = {398 - 403}, publisher = {IEEE}, organization = {IEEE}, abstract = {This paper presents a new human-motion identification and segmentation algorithm, for mobile robot platforms. The algorithm is based on computing the alignment error between pairs of object images acquired from a moving platform. Pairs of images generating relatively small alignment errors are used to estimate the fundamental frequency of the object{\textquoteright}s motion. A decision criterion is then used to test the significance of the estimated frequency and to classify the object{\textquoteright}s motion. To verify the validity of the proposed approach, experimental results are shown on different classes of objects}, keywords = {Computer errors, Educational institutions, Frequency estimation, human-motion identification, human-motion segmentation, HUMANS, Image motion analysis, Image segmentation, mobile robot navigation, Mobile robots, Motion estimation, Navigation, Object detection, robot vision, SHAPE}, isbn = {0-7803-9178-0}, doi = {10.1109/ICAR.2005.1507441}, author = {Abd-Almageed, Wael and Burns,B. J and Davis, Larry S.} }