%0 Conference Paper %1 torma2001a %A Torma, P. %A Szepesvári, Cs. %B Proc. Second International Symposium on Image and Signal Processing and Analysis (ISAP'01) %D 2001 %K application filtering, particle theory, vision, %P 277--282 %T Efficient Object Tracking in Video Sequences by means of LS-N-IPS %X A recently introduced particle filtering method, called LS-N-IPS, is considered for tracking objects on video sequences. LS-N-IPS is a computationally efficient particle filter that performs better than the standard N-IPS particle filter, when observations are highly peaky, as it is the case of visual object tracking problems with good observation models. An implementation of LS-N-IPS that uses B-spline based contour models is proposed and is shown to perform very well as compared to similar state-of-the art tracking algorithms.

@inproceedings{torma2001a, abstract = {A recently introduced particle filtering method, called LS-N-IPS, is considered for tracking objects on video sequences. LS-N-IPS is a computationally efficient particle filter that performs better than the standard N-IPS particle filter, when observations are highly peaky, as it is the case of visual object tracking problems with good observation models. An implementation of LS-N-IPS that uses B-spline based contour models is proposed and is shown to perform very well as compared to similar state-of-the art tracking algorithms.}, added-at = {2020-03-17T03:03:01.000+0100}, author = {Torma, P. and Szepesv{\'a}ri, {Cs}.}, biburl = {https://www.bibsonomy.org/bibtex/22d83493214abdb7d427ae242e8c38521/csaba}, booktitle = {Proc. Second International Symposium on Image and Signal Processing and Analysis (ISAP'01)}, date-modified = {2010-09-04 11:58:07 -0600}, interhash = {8f3d562a424bda290ca2262e248fcba2}, intrahash = {2d83493214abdb7d427ae242e8c38521}, keywords = {application filtering, particle theory, vision,}, owner = {Beata}, pages = {277--282}, pdf = {papers/VisTrLSNIPS.ps.pdf}, timestamp = {2020-03-17T03:03:01.000+0100}, title = {Efficient Object Tracking in Video Sequences by means of {LS-N-IPS}}, year = 2001 }