Title :
Position analysis based on multiple views in multi-target tracking
Author :
Ya-Hui, Liu ; Qing-Xuan, Jia ; Han-Xu, Sun ; Xin, Gao
Author_Institution :
Sch. of Autom., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
A spatial position analysis algorithm for multi-target tracking is proposed in multiple views. A target centroid marked is obtained from the zero and the first moments. Data association between a centroid and a trajectory exploits fuzzy C-mean clustering algorithm. Positions of moving targets are calculated by triangle principles in stereo vision. Furthermore, back projections from a three-dimensional point to a camera plane in each view angle are compared to the centroid in order to obtain RMS error. Experimental results indicate the method can reduce computational complexity and also be robust to occlusion, which can meet actual needs.
Keywords :
fuzzy set theory; image fusion; pattern clustering; stereo image processing; target tracking; RMS error; back projections; camera plane; centroid; computational complexity; data association; fuzzy C-mean clustering algorithm; multiple views; multitarget tracking; occlusion; spatial position analysis; stereo vision; triangle principles; Algorithm design and analysis; Cameras; Presses; Probabilistic logic; Sensors; Target tracking; Trajectory; data association; fuzzy c-means Clustering; multi-target tracking; multiple cameras;
Conference_Titel :
Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8883-4
DOI :
10.1109/YCICT.2010.5713059
