Incoherent Motion Detection using a Time-series Gram Matrix Feature

This paper p'VlJOses a /lew meThod for incoherent lIlotion recognitioll from video sequences. We use time-series ~pariQ-lempora/illlensity gradients within a space-rime patch. Using a global space-time patch, we fOl/lld,hor the gradiem feature allows liS 10 distinguish an incoherent lIlotion from a coherem motion wilhout segmentalion. Furthermore 'he algorithm can rim in relll rime cI'en on an ell/belMetl device. III this paper. we I'erify /Ilorion recognilion peiformallce for actions which we consider coherent (walk/run) and incoherent (rurnlsquorlim'erse walk). To identify the //lulliple motion classes. we use linear discriminant analysis and the KNN method. As u reslllt. Ollr method L'un distinguish multiple-class motion putrerns with a detection rate of ubol/t 80%. Also the detection rute ofincolJerem mo· tions is JOO % with afalse positil'e rare ofless tlWl1 JO I