Semantic segmentation of trajectories with improved agent models for pedestrian behavior analysis.
Toru TamakiDaisuke OgawaBisser RaytchevKazufumi KanedaPublished in: Adv. Robotics (2019)
Keyphrases
- behavior analysis
- semantic segmentation
- agent model
- conditional random fields
- collective decision making
- superpixels
- scene classification
- anomaly detection
- surveillance system
- object detection
- object categories
- object class
- weakly supervised
- pascal voc
- object recognition
- pedestrian detection
- object classes
- action recognition
- computer vision
- supervised learning
- multi class
- image features
- probabilistic model
- moving objects
- three dimensional