A novel low false alarm rate pedestrian detection framework based on single depth images.
Xiaohui ZhaoYicheng JiangTania StathakiPublished in: Image Vis. Comput. (2016)
Keyphrases
- pedestrian detection
- depth images
- human body
- detection rate
- low false alarm rate
- object detection
- pedestrian detector
- image processing
- benchmark datasets
- pose estimation
- detection algorithm
- depth information
- multi view
- motion estimation
- computational cost
- active learning
- face recognition
- three dimensional
- decision trees