  A method for online identification of group of moving objects in the video is
proposed in this paper. This method at each frame identifies group of tracked
objects with similar local instantaneous motion pattern using spectral
clustering on motion similarity graph. Then, the output of the algorithm is
used to detect the event of more than two object moving together as required by
PETS2015 challenge. The performance of the algorithm is evaluated on the
PETS2015 dataset.
