Tracking a dynamic set of feature points Export

@article{citeulike:1847559, abstract = {We address the problems of tracking a set of feature points over a long sequence of monocular images as well as how to include and track new feature points detected in successive frames. Due to the 3-D movement of the camera, different parts of the images exhibit different image motion. Tracking discrete features can therefore be decomposed into several independent and local problems. Accordingly, we propose a localized feature tracking algorithm. The trajectory of each feature point is described by a 2-D kinematic model. Then to track a feature point, an interframe motion estimation scheme is designed to obtain the estimates of interframe motion parameters. Subsequently, using the estimates of motion parameters, corresponding points are identified to subpixel accuracy. Afterwards, the temporal information is processed to facilitate the tracking scheme. Since different feature points are tracked independently, the algorithm is able to handle the image motion arising from general 3-D camera movements. On the other hand, in addition to tracking feature points detected at the beginning, an efficient way to dynamically include new points extracted in subsequent frames is devised so that the information in a sequence is preserved. Experimental results for several image sequences are also reported}, author = {Yao, Yi-Sheng and Chellappa, R.}, booktitle = {Image Processing, IEEE Transactions on}, citeulike-article-id = {1847559}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=465103}, journal = {Image Processing, IEEE Transactions on}, keywords = {2d, 3d, kalman, tracking}, number = {10}, pages = {1382--1395}, posted-at = {2007-10-31 15:43:44}, priority = {5}, title = {Tracking a dynamic set of feature points}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=465103}, volume = {4}, year = {1995} }

TY - JOUR ID - citeulike:1847559 L3 - citeulike-article-id:1847559 N2 - We address the problems of tracking a set of feature points over a long sequence of monocular images as well as how to include and track new feature points detected in successive frames. Due to the 3-D movement of the camera, different parts of the images exhibit different image motion. Tracking discrete features can therefore be decomposed into several independent and local problems. Accordingly, we propose a localized feature tracking algorithm. The trajectory of each feature point is described by a 2-D kinematic model. Then to track a feature point, an interframe motion estimation scheme is designed to obtain the estimates of interframe motion parameters. Subsequently, using the estimates of motion parameters, corresponding points are identified to subpixel accuracy. Afterwards, the temporal information is processed to facilitate the tracking scheme. Since different feature points are tracked independently, the algorithm is able to handle the image motion arising from general 3-D camera movements. On the other hand, in addition to tracking feature points detected at the beginning, an efficient way to dynamically include new points extracted in subsequent frames is devised so that the information in a sequence is preserved. Experimental results for several image sequences are also reported IS - 10 JF - Image Processing, IEEE Transactions on EP - 1395 TI - Tracking a dynamic set of feature points VL - 4 T2 - Image Processing, IEEE Transactions on SP - 1382 KW - 2d KW - 3d KW - kalman KW - tracking AU - Yao, Yi-Sheng AU - Chellappa, R PY - 1995/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=465103 ER -