Camera handoff: tracking in multiple uncalibrated stationary cameras
- Resource Type
- Authors
- Omar Javed; Zeeshan Rasheed; Sohaib Khan; Mubarak Shah
- Source
- Workshop on Human Motion
- Subject
- Cover (telecommunications)
business.industry
Computer science
Camera handoff
Perspective (graphical)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Field of view
Tracking (particle physics)
Multiple perspective
Computer vision
Artificial intelligence
business
Visibility
Camera resectioning
- Language
Multiple cameras are needed to completely cover an environment for monitoring activity. To track people successfully in multiple perspective imagery, one needs to establish a correspondence between objects captured by multiple cameras. We present a system for tracking people using multiple uncalibrated cameras. The system is able to discover spatial relationships between the cameras' fields of view and to use this information to correspond between different perspective views of the same person. We employ the novel approach of finding the limits of the field of view of a camera that are visible by the other cameras. This helps us to disambiguate between possible candidates of correspondence. The proposed approach is very fast compared to camera calibration-based approaches.