A fuzzy inference approach to template-based visual tracking

作者：Ramirez Paredes Juan Pablo; Sanchez Yanez Raul E^*; Ayala Ramirez Victor

来源：Machine Vision and Applications, 2012, 23(3): 427-439.

DOI：10.1007/s00138-010-0314-8

• Target tracking
• Deformable template
• Fuzzy system
• Real-time vision

The tracking of visual features using appearance models is a well studied but still open area of computer vision. In the absence of knowledge about the structural constraints of the tracked object, the validity of the model can be compromised if only appearance information is used. We propose a fuzzy inference scheme that can be used to selectively update a given template-based model in tracking tasks. This allows us to track moving objects under translation, rotation, and scale changes with minimal feature drift. Moreover, no rigidity constraint needs to be enforced on the moving target. Some experiments have been performed using several targets, and the results are very close to the ground truth paths. The computational cost of our approach is low enough to allow its application in real-time tracking using modest hardware requirements.

• 出版日期2012-5