Motion periodicity-based pedestrian detection and particle filter-based pedestrian tracking using stereo vision camera.
Khalid Al MutibMuhammad EmaduddinMansour AlSulaimanRamdane HedjarEbrahim MattarPublished in: Int. J. Comput. Appl. Technol. (2014)
Keyphrases
- stereo vision
- pedestrian tracking
- pedestrian detection
- stereo camera
- vision system
- camera motion
- human body
- ego motion
- night vision
- infrared imagery
- video surveillance
- object detection
- stereo matching
- stereo images
- human motion
- motion estimation
- multi target tracking
- optical flow
- ground plane
- surveillance system
- motion patterns
- image sequences
- moving objects
- motion model
- detection rate
- video camera
- benchmark datasets
- real time
- object tracking
- space time
- dynamic scenes
- particle filter
- computer vision
- feature points
- keypoints
- motion blur
- face detection
- post processing
- computational complexity
- three dimensional