Multi-Modal Learning
- Purpose: to classify bird species
- Background: difficulty of fine-grained classification + employ art/pose based approaches to achieve good performance
- Methodology: Audio-Visual data + CNN + Multimodal learning
Product Detection on Retail Store Shelves
- Purpose: to detect products on retail store shelves
- Background: manual managements of the product arrangement waste resource + present methods require a template of the product
- Methodology: use segmentation to detect products without the templates
Multi-view Face Detection
- Purpose: multi-view face detection
- Background: complex logic structure for multi-view detector
- Methodology: use frontal face detector only + mirror reversal theory
Rat head gaze determination
Methodology: homogeneous filtering + head gaze extraction
Purpose: rat head gaze determination
Background: difficult to evaluate rat behavior without markers
Eye sensing
Face sensing
Purpose: multi-view face detection & tracking
Background: high effort & cost of creating dataset & machine learning
Methodology: no prior machine learning + evolutionary video processing by GA
Object tracking for privacy protection
Parametric template matching
Pedestrian sensing with first-person view
