Structure Restriction for Tracking Through Multiple Views and Occlusions
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A spatial-color mean-shift object tracking algorithm with scale and orientation estimation
Pattern Recognition Letters
Ground Plane Estimation Based on Virtual Camera Rotation
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Joint feature correspondences and appearance similarity for robust visual object tracking
IEEE Transactions on Information Forensics and Security
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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驴-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.