Image Compression for Trajectory Refinement Export

@misc{citeulike:3290635, abstract = {We present an application of algorithmic complexity to trajectory refinement and event detection. Given the image data, the camera calibration and a hypothesis in the form of a vehicle trajectory, an evaluation function is defined that allows a search for the best hypothesis. The function is simply the length of the data after it has been compressed using the hypothesis. The hypothesis at which the evaluation function attains a minimum is chosen as the best available. The effectiveness of this method for choosing trajectories is assessed experimentally. 1}, citeulike-article-id = {3290635}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.1833}, keywords = {ccitt, tracking, video}, posted-at = {2008-09-18 21:41:27}, priority = {2}, title = {Image Compression for Trajectory Refinement}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.1833} }

TY - ELEC ID - citeulike:3290635 L3 - citeulike-article-id:3290635 N2 - We present an application of algorithmic complexity to trajectory refinement and event detection. Given the image data, the camera calibration and a hypothesis in the form of a vehicle trajectory, an evaluation function is defined that allows a search for the best hypothesis. The function is simply the length of the data after it has been compressed using the hypothesis. The hypothesis at which the evaluation function attains a minimum is chosen as the best available. The effectiveness of this method for choosing trajectories is assessed experimentally. 1 TI - Image Compression for Trajectory Refinement KW - ccitt KW - tracking KW - video UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.1833 ER -