Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video

Figure 12

Comparison of the global performances for single feature (BOVW-SVM, CRFH-SVM), multiple feature late fusion (DAS), and the proposed extensions using temporal accumulation (TA-DAS) and Co-Training (CO-DAS, CO-TA-DAS). The evolution of the performances of the individual inner classifiers of the Co-Training module (BOVW-CO, CRFH-CO) is also shown. Plot of the average accuracy as a function of the amount of Co-Training feedback. The approaches without Co-Training appear as the limiting case with 0% of feedback (IDOL2 dataset, video-versus-video setup, ALL pairs).