A particle swarm optimization approach for multi-objects tracking in crowded scene.
Myo ThidaPaolo RemagninoHow-Lung EngPublished in: ICCV Workshops (2009)
Keyphrases
- crowded scenes
- particle swarm optimization
- tracking multiple objects
- multiple objects
- pedestrian detection
- behavior analysis
- complex scenes
- human detection
- object tracking
- multiple moving objects
- tracked objects
- cluttered background
- moving objects
- space time
- scene understanding
- tracking objects
- camera views
- dynamic scenes
- target object
- video images
- object detection and tracking
- pso algorithm
- partial occlusion
- visual tracking
- video surveillance
- real world scenes
- human body
- motion segmentation
- object motion
- particle filter
- ground plane
- outdoor scenes
- camera tracking
- real world objects
- image sequences
- rigid objects
- complex background
- spatial relations
- multi objective
- multiple images
- motion patterns
- moving camera
- d scene
- image regions
- object appearance
- visual data
- multi camera
- appearance information
- d objects
- object trajectories
- particle swarm optimization pso
- real objects