… , and an object model-ie, a model of the image of a person in motion. Though each part of
a person may move in different directions at any instant, the time averaged motion of all parts …

… a novel method of motion segmentation based on segmenting layered motion regions that
are meaningfully connected to movements of the object of interest. This motion segmentation, …

… segments of coherent motion. In addition to a mere segmentation into some segments of
similar motion, our algorithm is capable of finding long term motion segments. Furthermore the …

… motion segmentation algorithm to find the Significant Motion Points. Many previous approaches
for motion … This approaches can not be used for motion segmentation of body part move…

… detections and learnt articulated pose-specific segmentation masks, as well as colour,
motion, and stereo disparity cues. The model also explicitly represents depth ordering and …

… To overcome the problems described above we propose a new motion segmentation …
dominant motion blobs in each frame. The primary significant motion point (SMP) in each motion …

… We seek to obtain a pixel-wise segmentation and pose estimation of multiple people in a …
segmentation model incorporating person detection, pose estimation, as well as colour, motion, …

… , our method is able to segment out different people in the scene using their different
motion patterns. We demonstrate our segmentation framework on multiple datasets and show …

… [11] introduced a DCT based segmentation, which can efficiently consider both lighting and
… and sporadic camera motion due to vibration, in order to count people crossing an entrance …

… automatic segmentation of motion capture data that results in deterministic segmentation
points. The method can be considered as an advanced zero crossing segmentation technique. …