Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms

This paper describes a framework which exploits the use of computer animation to evaluate the performance of tracking algorithms. This can be achieved in two different, complementary strategies. On the one hand, augmented reality allows to gradually increasing the scene complexity by adding virtual agents into a real image sequence. On the other hand, the simulation of virtual environments involving autonomous agents provides with synthetic image sequences. These are used to evaluate several difficult tracking problems which are under research nowadays, such as performance processing long

• Type: Conference
• Year: 2008
• Where: AMDO
• Authors: Pau Baiget, F. Xavier Roca, Jordi Gonzàlez
• Keywords: AMDO 2008, Computer Graphics, Evaluate, Image Sequences, Synthetic Image Sequences