|Budget Amount *help
¥2,678,000 (Direct Cost: ¥2,060,000、Indirect Cost: ¥618,000)
Fiscal Year 2010: ¥1,274,000 (Direct Cost: ¥980,000、Indirect Cost: ¥294,000)
Fiscal Year 2009: ¥1,404,000 (Direct Cost: ¥1,080,000、Indirect Cost: ¥324,000)
In visual object recognition based on pattern recognition, unsupervised learning is a still important problem. In this research, we try semi-automatic generating of training samples from non-labeled video sequence by using unsupervised approach. We use grow cut and template matching based object traking method for our sample extraction. In our experiments, we show that our approach can make the clusters of targets without teacher signals.