Real-time target recognition and tracking of vehicles moving on a street by matched filtering that uses quantization of modulated function to complexes of a quadrupole.

Abstract

Vehicles moving on a street were monitored by a CCD digital TV camera and recognized in real time by a nonlinear matched filtering method, quantization of modulated function to complexes of a quadrupole, with a personal computer. In the nonlinear matched filtering method an input scene containing the vehicles is modulated in the frequency domain by matched filters, the modulated functions are quantized to complex numbers representing a quadrupole, and then quantized functions are inverse-Fourier transformed. In the frame time of an NTSC-TV system, autocorrelation signals of four vehicles were calculated and discriminated, and their peak positions were determined. Their correct loci in real time were tracked in sequential frames.