Multi-target tracking based on KLD mixture particle filter with radial basis function support
Jayanth Madapura, Baoxin Li · IEEE International Conference on Acoustics Speech and Signal Processing · 2008
The two major difficulties associated with practical real time multi-target tracking are accuracy and speed. A new technique is proposed for multi-target tracking based on multi-modal particle filter with fast tracking capability and improved accuracy. The speed in tracking is achieved by a KLD sampling stage while the accuracy is improved by an additional stage that uses radial basis functions (RBF) for interpolating the sparse particles. Test results of the proposed multi-target tracking approach on both synthetic and real video data demonstrate the improved performance.