Camera handoff is a crucial step to generate a
continuously tracked and consistently labeled trajectory of
the object of interest in multi-camera surveillance systems.
Most existing camera handoff algorithms concentrate on
data association, namely consistent labeling, where
images of the same object are matched across different
cameras. However, most real-time object tracking
systems see a decrease in the system's frame rate as the
number of tracked objects increases. To address this
issue, we propose to incorporate an adaptive resource
management mechanism into camera handoff. In so
doing, cameras' resources can be dynamically allocated
to multiple objects according to their priorities and hence
the required minimum frame rate can be maintained.
Experimental results illustrate that the proposed camera
handoff algorithm is capable of maintaining a constant
frame rate and of achieving a substantially improved
handoff success rate by approximately 20% in comparison
with the algorithm presented by Khan and Shah.