Please use this identifier to cite or link to this item:
|Title:||Kernel-based method for tracking objects with rotation and translation|
|Source:||Zhang, H., Huang, Z., Huang, W., Li, L. (2004). Kernel-based method for tracking objects with rotation and translation. Proceedings - International Conference on Pattern Recognition 2 : 728-731. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2004.1334362|
|Abstract:||This paper addresses the issue of tracking translation and rotation simultaneously. Starting with a kernel-based spatial-spectral model for object representation, we define an l 2-norm similarity measure between the target object and the observation, and derive a new formulation to the tracking of translational and rotational object. Based on the tracking formulation, an iterative procedure is proposed. We also develop an adaptive kernel model to cope with varying appearance. Experimental results are presented for both synthetic data and real-world traffic video.|
|Source Title:||Proceedings - International Conference on Pattern Recognition|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 15, 2018
checked on Feb 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.