Title :
Moving multi-object tracking algorithm based on wavelet clustering and frame difference
Author :
Zeng, Li ; Xu, Lida
Author_Institution :
Inst. of Comput. Technol., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
The paper presents an approach to motion objects tracking by combining parallel wavelet clustering with frame difference, which satisfies certain requirements of rapid moving objects detection. By utilizing multi-resolution property of wavelet clustering analysis based on adjacent frame difference results, we can identify arbitrary shape moving objects at different degree of accuracy. Experiment results show that good accuracy of proposed algorithm can be obtained at speeds close to real-time. Applications in real world are also presented which further demonstrated the efficiency and effectiveness of the proposed method.
Keywords :
computer vision; image segmentation; object detection; pattern clustering; tracking; wavelet transforms; adjacent frame difference; computer vision; motion objects segmention process; multiobject tracking algorithm; multiresolution property; parallel wavelet clustering analysis; Clustering algorithms; Computer vision; Image motion analysis; Motion analysis; Motion detection; Object detection; Optical computing; Optical noise; Optical sensors; Radar tracking; Moving Object Tracking; Wavelet Clustering;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346864
