Layered Object Recognition System for Pedestrian Sensing

4. KEY INNOVATIONS

The research team made the following key innovations during the execution of this project:

• Detected and recognized multiple roadway objects in real-time. In addition to pedestrian detection, the system also detected regions that corresponded to buildings, poles, trees, and motor vehicles.
  
  
• Used multiple cues to detect, classify, and track people. Stereo images provided depth information. Shape and appearance were used in the classifier, and motion cues were used to perform object tracking.
  
  
• Used contextual information about regions such as buildings, trees, poles, etc., derived from depth information to reject a majority of the FPs that were detected by the initial pedestrian detection module.