Signature-driven multiple visual target tracking

Tracking multiple maneuvering targets remains a challenge because of clutter and spurious targets. We propose a signature driven multiple target tracking (SDT) method which uses target signature in spectral, spatial and temporary spaces as well as the Markov property of target movement, so that the data association process in SDT is very efficient and effective. The experimental results have shown outstanding performance.