Improving Deep Learning by Incorporating Semi-automatic Moving Object Annotation and Filtering for Vision-based Vehicle Detection.
Ri-Chen FengDaw-Tung LinKen-Min ChenYi-Yao LinChin-De LiuPublished in: SMC (2019)
Keyphrases
- semi automatic
- deep learning
- vehicle detection
- detection algorithm
- driver assistance systems
- intelligent vehicles
- moving objects
- advanced driver assistance systems
- surveillance videos
- unsupervised learning
- machine learning
- video surveillance
- video sequences
- motion detection
- image annotation
- mental models
- background subtraction
- computer vision
- real time
- ground truth
- weakly supervised
- metadata
- human computer interaction
- image retrieval
- image sequences